>> And I'm here at Dell's Presence at MWC with vice president of marketing for telecom and Edge Computing, Aaron Chaisson. Aaron, how's it going? >> Doing great. How's it going today, Dave? >> It's going pretty well. Pretty excited about what you've got going here and I'm looking forward to getting the tour. You ready to take a closer look? >> Ready to do it. Let's go take a look! For us in the telecom ecosystem, it's really all about how we bring together the different players that are innovating across the industry to drive value for our CSP customers. So, it starts really, for us, at the ecosystem layer, bringing partners, bringing telecommunication providers, bringing (stutters) a bunch of different technologies together to innovate together to drive new value. So Paul, take us a little bit through what we're doing to- to develop and bring in these partnerships and develop our ecosystem. >> Uh, sure. Thank you Aaron. Uh, you know, one of the things that we've been focusing on, you know, Dell is really working with many players in the open telecom ecosystem. Network equipment providers, independent software vendors, and the communication service providers. And, you know, through our lines of business or open telecom ecosystem labs, what we want to do is bring 'em together into a community with the goal of really being able to accelerate open innovation and, uh, open solutions into the market. And that's what this community is really about, is being able to, you know, have those communications, develop those collaborations whether it's through, you know, sharing information online, having webinars dedicated to sharing Dell information, whether it's our next generation hardware portfolio we announced here at the show, our use case directory, our- how we're dealing with new service opportunities, but as well as the community to share, too, which I think is an exciting way for us to be able to, you know- what is the knowledge thing? As well as activities at other events that we have coming up. So really the key thing I think about, the- the open telecom ecosystem community, it's collaboration and accelerating the open industry forward. >> So- So Aaron, if I'm hearing this correctly you're saying that you can't just say, "Hey, we're open", and throw a bunch of parts in a box and have it work? >> No, we've got to work together to integrate these pieces to be able to deliver value, and, you know, we opened up a- (stutters) in our open ecosystem labs, we started a- a self-certification process a couple of months back. We've already had 13 partners go through that, we've got 16 more in the pipeline. Everything you see in this entire booth has been innovated and worked with partnerships from Intel to Microsoft to, uh, to (stutters) Wind River and Red Hat and others. You go all the way around the booth, everything here has partnerships at its core. And why don't we go to the next section here where we're going to be showing how we're pulling that all together in our open ecosystems labs to drive that innovation? >> So Aaron, you talked about the kinds of validation and testing that goes on, so that you can prove out an open stack to deliver the same kinds of reliability and performance and availability that we expect from a wireless network. But in the opens- in the open world, uh, what are we looking at here? >> Yeah absolutely. So one of the- one of the challenges to a very big, broad open ecosystem is the complexity of integrating, deploying, and managing these, especially at telecom scale. You're not talking about thousands of servers in one site, you're talking about one server in thousands of sites. So how do you deploy that predictable stack and then also manage that at scale? I'm going to show you two places where we're talkin' about that. So, this is actually representing an area that we've been innovating in recently around creating an integrated infrastructure and virtualization stack for the telecom industry. We've been doing this for years in IT with VxBlocks and VxRails and others. Here what you see is we got, uh, Dell hardware infrastructure, we've got, uh, an open platform for virtualization providers, in this case we've created an infrastructure block for Red Hat to be able to supply an infrastructure for core operations and Packet Cores for telecoms. On the other side of this, you can actually see what we're doing with Wind River to drive innovation around RAN and being able to simplify RAN- vRAN and O-RAN deployments. >> What does that virtualization look like? Are we talking about, uh, traditional virtual machines with OSs, or is this containerized cloud native? What does it look like? >> Yeah, it's actually both, so it can support, uh, virtual, uh-uh, software as well as containerized software, so we leverage the (indistinct) distributions for these to be able to deploy, you know, cloud native applications, be able to modernize how they're deploying these applications across the telecom network. So in this case with Red Hat, uh, (stutters) leveraging OpenShift in order to support containerized apps in your Packet Core environments. >> So what are- what are some of the kinds of things that you can do once you have infrastructure like this deployed? >> Yeah, I mean by- by partnering broadly across the ecosystem with VMware, with Red Hat, uh, with- with Wind River and with others, it gives them the ability to be able to deploy the right virtualization software in their network for the types of applications they're deploying. They might want to use Red Hat in their core, they may want to use Wind River in their RAM, they may want to use, uh, Microsoft or VMware for their- for their Edge workloads, and we allow them to be able to deploy all those, but centrally manage those with a common user interface and a common set of APIs. >> Okay, well I'm dying to understand the link between this and the Lego city that the viewers can't see, yet, but it's behind me. Let's take a look. >> So let's take a look at the Lego city that shows how we not deploy just one of these, but dozens or hundreds of these at scale across a cityscape. >> So Aaron, I know we're not in Copenhagen. What's all the Lego about? >> Yeah, so the Lego city here is to show- and, uh, really there's multiple points of Presence across an entire Metro area that we want to be able to manage if we're a telecom provider. We just talked about one infrastructure block. What if I wanted to deploy dozens of these across the city to be able to manage my network, to be able to manage, uh, uh- to be able to deploy private mobility potentially out into a customer enterprise environment, and be able to manage all of these, uh, very simply and easily from a common interface? >> So it's interesting. Now I think I understand why you are VP of marketing for both telecom and Edge. Just heard- just heard a lot about Edge and I can imagine a lot of internet of things, things, hooked up at that Edge. >> Yeah, so why don't we actually go over to another area? We're actually going to show you how one small microbrewery (stutters) in one of our cities nearby, uh, (stutters) my hometown in Massachusetts is actually using this technology to go from more of an analyzed- analog world to digitizing their business to be able to brew better beer. >> So Aaron, you bring me to a brewery. What do we have- what do we have going on here? >> Yeah, so, actually (stutters) about- about a year ago or so, I- I was able to get my team to come together finally after COVID to be able to meet each other and have a nice team event. One of those nights, we went out to dinner at a- at a brewery called "Exhibit 'A'" in Massachusetts, and they actually gave us a tour of their facilities and showed us how they actually go through the process of brewing beer. What we saw as we were going through it, interestingly, was that everything was analog. They literally had people with pen and paper walking around checking time and temperature and the process of brewing the beer, and they weren't asking for help, but we actually saw an opportunity where what we're doing to help businesses digitize what they're doing in their manufacturing floor can actually help them optimize how they build whatever product they're building, in this case it was beer. >> Hey Warren, good to meet you! What do we have goin' on? >> Yeah, it's all right. So yeah, basically what we did is we took some of their assets in the, uh, brewery that were completely manually monitored. People were literally walking around the floor with clipboards, writing down values. And we censorized the asset, in this case fermentation tanks and we measured the, uh, pressure and the temperature, which in fermentation are very key to monitor those, because if they get out of range the entire batch of beer can go bad or you don't get the consistency from batch to batch if you don't tightly monitor those. So we censorized the fermentation tank, brought that into an industrial I/O network, and then brought that into a Dell gateway which is connected 5G up to the cloud, which then that data comes to a tablet or a phone, which they, rather than being out on the floor and monitor it, can look at this data remotely at any time. >> So I'm not sure the exact date, the first time we have evidence of beer being brewed by humanity... >> Yep. >> But I know it's thousands of years ago. So it's taken that long to get to the point where someone had to come along, namely Dell, to actually digitally transform the beer business. Is this sort of proof that if you can digitally transform this, you can digitally transform anything? >> Absolutely. You name it, anything that's being manufactured, sold, uh, uh, taken care of, (stutters) any business out there that's looking to be able to be modernize and deliver better service to their customers can benefit from technologies like this. >> So we've taken a look at the ecosystem, the way that you validate architectures, we've seen an example of that kind of open architecture. Now we've seen a real world use case. Do you want to take a look a little deeper under the covers and see what's powering all of this? >> We just this week announced a new line of servers that power Edge and RAN use cases, and I want to introduce Mike to kind of take us through what we've been working on and really what the power of what this providing. >> Hey Mike, welcome to theCube. >> Oh, glad- glad to be here. So, what I'd really like to talk about are the three new XR series servers that we just announced last week and we're showing here at Mobile World Congress. They are all short depth, ruggedized, uh, very environmentally tolerant, and able to withstand, you know, high temperatures, high humidities, and really be deployed to places where traditional data center servers just can't handle, you know, due to one fact or another, whether it's depth or the temperature. And so, the first one I'd like to show you is the XR7620. This is, uh, 450 millimeters deep, it's designed for, uh, high levels of acceleration so it can support up to 2-300 watt, uh, GPUs. But what I really want to show you over here, especially for Mobile World Congress, is our new XR8000. The XR8000 is based on Intel's latest Sapphire Rapids technology, and this is- happens to be one of the first, uh, EE boost processors that is out, and basically what it is (stutters) an embedded accelerator that makes, uh, the- the processing of vRAN loads very, uh, very efficient. And so they're actually projecting a, uh, 3x improvement, uh, of processing per watt over the previous generation of processors. This particular unit is also sledded. It's very much like, uh, today's traditional baseband unit, so it's something that is designed for low TCO and easy maintenance in the field. This is the frew. When anything fails, you'll pull one out, you pop a new one in, it comes back into service, and the- the, uh, you know, your radio is- is, uh, minimally disrupted. >> Yeah, would you describe this as quantitative and qualitative in terms of the kinds of performance gains that these underlying units are delivering to us? I mean, this really kind of changes the game, doesn't it? It's not just about more, is it about different also in terms of what we can do? >> Well we are (stutters) to his point, we are able to bring in new accelerator technologies. Not only are we doing it with the Intel, uh, uh, uh, of the vRAN boost technologies, but also (stutters) we can bring it, too, but there's another booth here where we're actually working with our own accelerator cards and other accelerator cards from our partners across the industry to be able to deliver the price and performance capabilities required by a vRAN or an O-RAN deployment in the network. So it's not- it's not just the chip technology, it's the integration and the innovation we're doing with others, as well as, of course, the unique power cooling capabilities that Dell provides in our servers that really makes these the most efficient way of being able to power a network. >> Any final thoughts recapping the whole picture here? >> Yeah, I mean I would just say if anybody's, uh, i- is still here in Mobile World Congress, wants to come and learn what we're doing, I only showed you a small section of the demos we've got here. We've got 13 demos across on 8th floor here. Uh, for those of you who want to talk to us (stutters) and have meetings with us, we've got 13 meeting rooms back there, over 500 costumer partner meetings this week, we've got some whisper suites for those of you who want to come and talk to us but we're innovating on going forward. So, you know, there's a lot that we're doing, we're really excited, there's a ton of passion at this event, and, uh, we're really excited about where the industry is going and our role in it. >> 'Preciate the tour, Aaron. Thanks Mike. >> Mike: Thank you! >> Well, for theCube... Again, Dave Nicholson here. Thanks for joining us on this tour of Dell's Presence here at MWC 2023.

(lively music) >> Good afternoon and welcome back to beautiful Las Vegas, Nevada, where we're here live from the show floor, all four days of AWS re:Invent. I'm Savannah Peterson, joined with my co-host Dave Vellante. Dave, how you doing? >> Good. Beautiful and chilly Las Vegas. Can't wait to get back to New England where it's warm. >> Balmy, New England this time of year in December. Wow, Dave, that's a bold statement. I am super excited about the conversation that we're going to be having next. And, you know, I'm not even going to tee it up. I just want to bring Dilip on. Dilip, thank you so much for being here. How you doing? >> Savannah, Dave, thank you so much. >> Hey, Dilip. >> Excited to be here. >> It's joy to have you. So, you have been working at Amazon for about 20 years. >> Almost. Almost. >> Yes. >> Feels like 20, 19 1/2. >> Which is very exciting. You've had a lot of roles. I'm going to touch on some of them, but you just came over to AWS from the physical retail side. Talk to me about that. >> Yup, so I've been to Amazon for 19 1/2 years. Done pricing, supply chain. I was Jeff Bezos technical advisor for a couple years. >> Casual name drop. >> Casual name drop. >> Savannah: But a couple people here for that name before. >> Humble brag, hashtag. And then I, for the last several years, I was leading our physical retail initiatives. We just walk out Amazon One, bringing convenience to physical spaces. And then in August, with like as those things were getting a lot of traction and we were selling to third parties, we felt that it would be better suited in AWS. And, but along with that, there was also another trend that's been brewing, which is, you know, companies have loved building on AWS. They love the infrastructure services, but increasingly, they're also asking us to build applications that are higher up in the stack. Solving key, turnkey business problems. Just walk out Amazon One or examples of that, Amazon Connect. We just recently announced supply chain, so now there's a bevy interesting services all coming together, higher up in the stack for customers. So it's an exciting time. >> It was interesting that you're able to, you know, transfer from that retail. I mean, normally, in historically, if you're within an industry, retail, manufacturing, automotive whatever. You were kind as locked in a little bit. >> Dilip: Siloed a little bit. Yeah, yeah, yeah. >> Because they had their own, your own value chain. And I guess, data has changed that maybe, that you can traverse now. >> Yeah, if you think about the things that we did, even when we were in retail, the tenants was less about the industries and more about how can we bring convenience to physical spaces? The fact that you don't like to wait in line is no more like likely, you know, five years from now than it is today. So, it's a very durable tenant, but it's equally applicable whether you're in a grocery store, a convenience store, a stadium, an airport. So it actually transcends any, and like supply chain, think of supply chain. Supply chain isn't, you know, targeted to any one particular industry. It has broad applicability. So these things are very, you know, horizontally applicable. >> Anything that makes my life easier, I'm down. >> Savannah: We're all here for the easy button. We've been talking about it a bit this week. I'm in. And the retail store, I mean, I'm in San Francisco. I've had the experience of going through. Very interesting and seamless journey, honestly. It's very exciting. So tell us a little bit more about the applications group at AWS. >> Yup. So as I said, you know, we are, the applications group is a combination of several services. You know, we have communication developer services, which is the ability to add simple email service or video and embed video, voice chat using a chime SDK. In a higher up in the stack, we are taking care of things that IT administrators have to deal with where you can provision an entire desktop with the workspaces or provide a femoral access to it. And then as you go up even higher up in the stack, you have productivity applications like AWS Wicker, which we just did GA, you know, last week in AWS Clean Rooms which we announced as a service in preview. And then you have, you know, Connect, which is our cloud contact center, AWS supply chain. Just walk out Amazon One, it just feels like we're getting started. >> Just a couple things going on. >> So, clean rooms. Part of the governance play, part of data sharing. Can you explain, you know, we were talking offline, but I remember back in the disk drive days. We were in a clean room, they'd show you the clean room, you couldn't go near it unless you had a hazmat suit on. So now you're applying that to data. Explain that concept. >> Yeah, so the companies across, you know, financial services or healthcare, advertising, they all want to be able to combine and pull together data`sets with their partners in order to get these collaborative insights. The problem is either the data's fragmented, it's siloed or you have, you know, data governance issues that's preventing them from sharing. And the key requirement is that they want to be able to share this data without exposing any of the underlying data. Clean rooms are always emerged as a solution to that, but the problem with that is that they're hard to maintain. They're expensive. You have to write complex privacy queries. And if you make a mistake, you risk exposing the same data that you've been, you know, studiously trying to protect. >> Trying to protect. >> You know, take advertising as an industry, as an example. You know, advertisers care about, is my ad effective? But it turns out that if you're an advertiser and let's say you're a Nike or some other advertiser and your pop, you know, you place an ad on the website. Well, you want to stop showing the ad to people who have already purchased the product. However, people who purchased the product,- >> Savannah: It happens all the time. >> that purchasing data is not accessible to them easily. But if you could combine those insights, you know, the publishers benefit, advertisers benefits. So AWS Clean Rooms is that service that allows you very easily to be able to collaborate with a group of folks and then be able to gain these collaborative insights. >> And the consumers benefit. I mean, how many times you bought, you search it. >> It happens all the time. >> They know. And like, I just bought that guys, you know? >> Yeah, no, exactly. >> Four weeks. >> And I'm like, you don't need to serve me that, you know? And we understand the marketing backend. And it's just a waste of money and energy and resources. I mean, we're talking about sustainability as well. I don't think supply chain has ever had a hotter moment than it's had the last two and a half years. Tell me more about the announcement. >> Yup, so super excited about this. As you know, as you said, supply chains have always been very critical and very core for companies. The pandemic exacerbated it. So, ours way of sort of thinking about supply chains is to say that, you know, companies have taken, over the years many, like dozens, like millions and millions of dollars of investment in building their own supply chains. But the problem with supply chains is that the reason that they're not as functional as they could be is because of the lack of visibility. Because they're strung together very many disparate systems, that lack of visibility affects agility. And so, our approach in it was to say that, well, if we could have folks use their existing supply chain what can we do to improve the investment on the ROI of what they're getting? By creating a layer on top of it, that provides them that insights, connects all of these disparate data and then provides them insights to say, well, you know, here's where you overstock, here's where you under stock. You know, this is the, you know, the carbon emission impact of being able to transfer something. So like rather without requiring people to re-platform, what's the way that we can add value in it? And then also build upon Amazon's, you know, years of supply chain experience, to be able to build these predictive analytics for customers. >> So, that's a good, I like that you started with the why. >> Yes. >> Right now, what is it? It's an abstraction layer and then you're connecting into different data points. >> Yes, that's correct. >> Injecting ML. >> Feel like you can pick in, like if you think about supply chain, you can have warehouse management systems, order management systems. It could be in disparate things. We use ML to be able to bring all of this disparate data in and create our unified data lake. Once you have that unified data lake, you can then run an insights layer on top of it to be able to say, so that as the data changes, supply chain is not a static thing. Data's constantly changing. As the data's changing, the data lake now reflects the most up-to-date information. You can have alerts and insights set up on it to say that, what are the kinds of things that you're interested in? And then more importantly, supply chain and agility is about communication. In order to be able to make certain things happen, you need to be able to communicate, you need to make sure that everyone's on the same page. And we allow for a lot of the communication and collaboration tools to be built within this platform so that you're not necessarily leaving to go and toggle from one place to the other to solve your problems. >> And in the pie chart of how people spend their time, they're spending a lot less time communicating and being proactive. >> That's correct. >> And getting ahead of the curve. They're spending more time trying to figure out actually what's going on. >> Yes. >> And that's the problem that you're going to solve. >> Well, and it ensures that the customer at the other end of that supply chain experience is going to have their expectations managed in terms of when their good might get there or whatever's going to happen. >> Exactly. >> I feel like that expectation management has been such a big part of it. Okay, I just have to ask because I'm very curious. What was it like advising Jeff? >> Quite possibly the best job that I've ever had. You know, he's a fascinating individual. >> Did he pay you to say that? >> Nope. But I would've, like, I would've done it for like, it's remarkable seeing how he thinks and his approach to problem solving. It is, you know, you could be really tactical and go very deep. You could be extremely strategic. And to be able to sort of move effortlessly between those two is a unique skill. I learned a lot. >> Yeah, absolutely. So what made you want to evolve your career at Amazon after that? 'Cause I see on your LinkedIn, you say, it was the best job you ever had. With curiosity? >> Yeah, so one of the things, so the role is designed for you to be able to transition to something new. >> Savannah: Oh, cool. >> So after I finished that role, we were just getting into our foray with physical stores. And the idea between physical stores is that, you and I as consumers, we all have a lot of choices for physical stores. You know, there's a lot of options, there's a lot of formats. And so the last thing we wanted to do is come up with another me too offering. So, our approach was that what can we do to improve convenience in physical stores? That's what resulted in just walk out to Amazon Go. That's what resulted in Amazon One, which is another in a fast, convenient, contactless way to pay using the power of your palm. And now, what started in Amazon retail is now expanded to several third parties in, you know, stadiums, convention centers, airports. >> Airport, I just had, was in the Houston airport and got to do a humanless checkout. >> Dilip: Exactly. >> And actually in Honolulu a couple weeks ago as well too. Yeah, so we're going to see more and more of this. >> Yes. >> So what Amazon, I think has over a million employees. A lot of those are warehouse employees. But what advice would you give to somebody who's somewhere inside of Amazon, maybe they're on AWS, maybe they're Amazon. What advice would you give somebody inside that's maybe, you know, hey, I've been at this job for five, six years, three, four years, whatever it is. I want to do something else. And there's so much opportunity inside Amazon, right? What would you advise them? >> My single advice, which is actually transferable and I use it for myself is choose something that makes you a little uncomfortable. >> Dave: Get out of your comfort zone. >> It's like, you got to do that. It's like, it's not the easiest thing to hear, but it's also the most satisfying. Because almost every single time that I've done it for myself, it's resulted in like, you don't really know what the answer is. You don't really know exactly where you're going to end up, but the process and the journey through it, if you experience a little bit of discomfort constantly, it makes you non complacent. It makes you sort of not take the job, sort of in a stride. You have to be on it to do it. So that's the advice that I would give anyone. >> Yeah, that's good. So something that's maybe adjacent and maybe not completely foreign to you, but also something that, you know, you got to go dig a little bit and learn. >> You're planning a career change over here, Dave? >> No, I know a lot of people in Amazon are like, hey, I'm trying to figure out what I want to do next. I mean, I love it here. I live by the LPS, you know, but, and there's so much to choose from. >> It is, you know, when I joined in 2003, there were so many things that we were sort of doing today. None of those existed. It's a fascinating company. And the evolution, you could be in 20 different places and the breadth of the kinds of things that, you know, the Amazon experience provides is timeless. It's fascinating. >> And, you know, you look at a company like Amazon, and, you know, it's so amazing. You look at this ecosystem. I've been around- >> Even a show floor. >> I've been around a lot of time. And the show floor says it all. But I've seen a lot of, you know, waves. And each subsequent wave, you know, we always talk about how many companies were in the Fortune 1000 and aren't anymore. And, but the leaders, you know, survive and they thrive. And I think it's fascinating to try to better understand the culture that enables that. You know, you look at a company like Microsoft that was irrelevant and then came back. You know, even IBM was on death store for a while and they come back and so they. And so, but Amazon just feels, you know, at the moment you feel like, "Oh wow, nothing can stop this machine." 'Cause everybody's trying to disrupt Amazon and then, you know, only the paranoid survive, all that stuff. But it's not like, past is not prologue, all right? So that's why I asked these questions. And you just said that a lot of the services today that although the ideas didn't even exist, I mean, walkout. I mean, that's just amazing. >> I think one of the things that Amazon does really well culturally is that they create the single threaded leadership. They give people focus. If you have to get something done, you have to give people focus. You can't distract them with like seven different things and then say that, oh, by the way, your eighth job is to innovate. It just doesn't work that way. It's like it's hard. Like it can be- >> And where were the energy come from that? >> Exactly. And so giving people that single threaded focus is super important. >> Frank Slootman, the CEO of Snowflake, has a great quote. He wrote on his book. He said, "If you got 14 priorities, you got none." And he asks,- >> Well said. >> he challenges people. If you had to give up everything and do only one thing for the next 365 days, what would that be? It's a really hard question to answer. >> I feel like as we're around New Year's resolution times. I mean when we thinking about that, maybe we can all share our one thing. So, Dilip, you've been with the the applications team for five months. What's coming up next? >> Well, as I said, you know, it feels like it's still day one for applications. If you think about the things, the news that we introduced and the several services that we introduced, it has applicability across a variety of horizontal industries. But then we're also feeling that there's considerable vertical applications that can be built for specific things. Like, it could be in advertising, it could be in financial services, it could be in manufacturing. The opportunities are endless. I think the notion of people wanting applications higher up in the stack and a little more turnkey solutions is also, it's not new for us, but it's also new and creative too. You know, AWS has traditionally been doing. >> So again, this relates to what we were sort of talking about before. And maybe, this came from Jazzy or maybe it came from Bezos. But you hear a lot, it's okay to be misunderstood or if we were misunderstood for a long time. So when people hear up the stack, they think, when you think about apps, you know, in the last 10 years it was taking on-prem and bringing it into the cloud. Okay, you saw that with CREM, email, CRM, service management, you know, data warehouses, et cetera. Amazon is thinking about this in a different way. It's like you're looking at the world saying, okay, how can we improve whatever? Workflows, people's lives, doing something that's not been done before? And that seems to be the kind of applications that you guys are thinking about building. >> Yeah. >> And that's unique. It's not just, okay, we're going to take something on-prem put it in the cloud. Been there, done that. That S-curve is sort of flattening now. But there's a new S-curve which is completely new workflows and innovations and processes that we really haven't thought about yet. Or you're thinking about, I presume. >> Yeah. Having said that, I'd also like to sort of remind folks that when you consider the, you know, the entire spend, the portion of workloads that are running in the cloud is a teeny tiny fraction. It's like less than 5%, like 4% or something like that. So it's a very, there's still plenty of things that can sort of move to the cloud. But you're right that there is another trend of where in the stack and the types of applications that you can provide as well. >> Yeah, new innovation that haven't well thought of yet. >> So, Dilip, we have a new tradition here on theCUBE at re:Invent. Where we're looking for your 30 minute Instagram reel, your hot take, biggest key theme, either for you, your team, or just general vibe from the show. >> General vibe from the show. Well, 19 1/2 years at Amazon, this is actually my first re:Invent, believe it or not. This is my, as a AWS employee now, as re:Invent with like launching services. So that's the first. I've been to re:Invent before, but as an attendee rather than as a person who's, you know, a contributing number of the workforce. >> Working actually? >> If you will. >> Actually doing your job. >> And so I'm just amazed at the energy and the breadth. And the, you know, from the partners to the customers to the diversity of people who are coming here from everywhere. I had meetings from people in New Zealand. Like, you know, the UK, like customers are coming at us from like very many different places. And it's fascinating for me to see. It's new for me as well given, you know, some of my past experience. But this is a, it's been a blast. >> People are pumped. >> People are pumped. >> They can't believe the booth traffic. Not only that quality. >> Right. All of our guests have talked about that. >> Like, yeah, you know, we're going to throw half of these leads away, but they're saying no, I'm having like really substantive conversations with business people. This is, I think, my 10th re:Invent. And the first one was mostly developers. And I'm like, what are you talking about? And, you know, so. Now it's a lot more business people, a lot of developers too. >> Yeah. >> It's just. >> The community really makes it. Dilip, thank you so much for joining us today on theCube. >> Thank you for having me. >> You're fantastic. I could ask you a million questions. Be sure and tell Jeff that we said hi. >> Will do. >> Savannah: Next time you guys are hanging out. And thank all of you. >> You want to go into space? >> Yeah. Yes, yes, absolutely. I'm perhaps the most space obsessed on the show. And with that, we will continue our out of this world coverage shortly from fabulous Las Vegas where we are at AWS re:Invent. It is day four with Dave Vellante. I'm Savannah Peterson and you're watching theCUBE, the leader in high tech coverage. (lively music)

>>Hello, welcome to the Cube here in Palo Alto, California. We're here for a preview of Ansible Fest 2022 this year in Chicago, in Person. And I'm here with Andreas. I've been on Craus, who's a senior manager for Ansible Technical Marketing at Red Hat. And just great to see you Cube alumni. Thanks for coming on and giving us a preview of what to expect at Ansible Fest. Thanks. >>No problem. Thanks for having us and thanks for everyone tuning in. >>You know, one of the things that's exciting this year is one, it's back in person from 2019 was the last in person Ansible Fest. Always a great event for folks doing it. Cloud native configuration management and automation, I think, and last year in our virtual event was the three things where automation, automation, automation kind of drove the point home. This year it's, it's more exciting than ever because if you look at the growth of Cloud Native, we're seeing a lot more traction in mainstream enterprises with Kubernetes. And obviously containers continue to grow with open source, powering everything under the coverage. So like this has like become such a whole nother inflection point this year more than ever. There's a focus on not just automation, but where the dots are gonna connect into the future. So I'd like to get your thoughts on what we're gonna expect this year at Ansible Fest. What's the themes? What do you, what do you see coming down the pike? What can people expect, >>People can really expect? Thanks. Thanks very much John. Really excited. So we're gonna see a lot of what we've seen before, right? So a little difference is from the previous onsite Ansel Fest is, I think we no longer have to say, you know, what's Ansible? We typically have had to say, you know, what is this Ansible thing? I don't know what this is. This is automation. I think we've gone beyond that and this is great. Ansible itself is now the defacto, what we believe is the de facto kind of automation language and Ansible automation platform is the defacto automation platform. So as you move into this year, we we're gonna be able to see, be able to really hone in on really having those beginners starting off much, much more quickly. But also those that have no and love Ansible for over the years to take that automation to the next level to, to new areas. Either new domains going beyond the data center, into the cloud, and then going beyond by all the partner certifications, integrations that we have. So it's a lot, it's just more of, of everything I think. So it's more for everyone all the time. So it's not, it's you, it's, it's no longer kind of a beginner's for everything, but we go all the way to kind of crawl, walk, run for this one. >>You know, it always surprises me every year, I'm always surprised by how great open source I remember every year. It's like, pinch me, This is amazing. If you're a developer right now, it's a good time to be coding because of open source growth is, is at an all time high, continues to grow, more projects are emerging. DevOps, which really came out of the ethos of the kind of the early days of the cloud and, and and scaling infrastructure was, was about infrastructure as code, which was the dream we all had in the late two thousands. If you remember right now that's happened. DevOps is now in the C I C D pipeline. Developers are shifting. Left cloud native hybrid actually now is a steady state and that's pretty well documented. What, what's next beyond infrastructures code? What's beyond the on premise cloud integration from a, from a, from a tech standpoint, what are you guys seeing around infrastructures, code, what's next and then what's beyond on premise? >>I think the big thing is scale, right? So we've always been able to kind of automate people, developers, as you said, DevOps, you can automate from your laptop, you can open up your laptop, download some open source Ansible and you know, automate your windows, your Linux, your network, no problem. But how do you actually operationalize that in an enterprise way across large teams, right? A global environment and then being able to like actually secure that, right? Security is such a big, sp a big piece of that now. So being able to actually apply automation securely in secure environments. So, and wrap all of that around cloud, right? So we've always been talking about a, you, you mentioned it on premises going into the cloud, right? So being able to operationalize in the cloud. So being able to automate cloud targets. So being able to automate aws, Azure GCP targets, but also running your automation on the cloud like say OpenShift. So being able to dynamically load load balance, create execution on demand for Ansible in OpenShift. So it's kind of hard and we, we hope that an Ansible fest will be able to kind of like demystify that from like when you hear, when you hear the word cloud and, and cloud native and hybrid cloud, it kind of goes in your head. We hope to kind of clear that up for folks at, at the fest. >>Certainly we're gonna talk about Super Cloud as well with the cube there. I wanna hear your thoughts real quick on the edge. You know, we gonna hear anything about the edge. This, this year, again, Edge has become hugely important, but yet it's not clear to a lot of people what that looks like. Are we gonna hear anything there? >>Absolutely. Edges is huge. And to some people I will say that when, when you say edge automation, it may not click to some folks, but if you were to say automating wireless access points in a branch office, you thinking, oh, okay, I can't now I know what you're talking about. Right? So a lot of people really may not have made the connection to what Edge Automation is because we, you know, maybe that hasn't been defined. And as we start moving into edge automation, we can start talking about extending, right? We're already talking about extending the data center, especially for network automation. So network automation no longer is in data center. You can now extend that out to the branch office to campus Wireless, right? And you can also extend that out into other areas such as industrial applications, right? If you wanna move a glue gun from one end of the warehouse to the other, you know, that has to be automated and we'll be able to be able to do that by means of some of the enhancements we made for that. >>What can customers and attendees who are gonna be there either in person and after remote hybrid expect us hear about Ansible's automation platform this year? What's gonna be some of the announcements? Can you tease a little bit out on what >>I can tease a little bit? Yeah. You know, day one's gonna be more of making me upleveling what you have today. I think you're gonna see some of the, the futures, right? A lot of the things around Edge, you'll hear something called event driven automation. So you, this is, this is very akin to maybe self-driving or self-healing or, you know, being able to automatically say event is triggered and then you can actually cause some automation to be spun up to actually remediate those things. So going beyond observability, right? Observability is great, but just observing problems is, is, you know, I can look at a million things wrong in my network, but if they're not being remediated, you know, it doesn't really mean much. So, you know, talking about event driven there is gonna be really hot. And then a lot of the other use cases in frameworks, you know, going beyond the configuration, I think, yeah, >>I think they develop things. Cool. And, and final question for you, because one of the things that last year we came away with was automation. What's that next automation at scale. Because remember, you know, we remember where we came from writing scripts, automating things from just basic scripting and, and configuration automation to full scale automation. That's become a big part and we see a lot of that in the cloud. Native conversations with containers and whatnot. How do you scale at, at, at, in the cloud with the cloud na hyperscalers. So again, the relationship with the hyperscalers and scale, what can we expect to hear there? >>Oh, everything from, so we'll be teasing out a little bit. You, you know that we have Ansible automation platform on Azure as a marketplace offering. We may be extending that to maybe some other hyperscalers. So making it super easy for customers or prospects to get automating quickly in their hyperscaler of choice, using their own means and, and, and methods and processes. And then going beyond that and ensuring security. So I mess in security again, how do you ensure that what you're in, what you're actually automating is part of like a security supply chain is part of your content or part of your playbooks and keeping things actually running well at scale, like you said, >>Okay, you got Azure, I'll put, I'll put my guessing hat on. There's only a few others in the pull from. That's awesome. Congratulations. And looking forward to the event, final word here. What's, what's, what do you see outcome at the end of the event? What's gonna, what's in your mind's eye? What's the, what's the outcome look like? >>Yeah, I, I just gotta do a shameless plug. I'm actually running the labs and workshops. So if you're in person or if you're not, you know, come check out the labs and workshops. We have four rooms. You can just camp out and just do hands on learning with workshop instructor led learnings or self-paced training. You can see me and all that. But I think the future learnings here is really trying to futureproof everyone's use cases. So actually, you know, you talk about ai, you talk about Cloud native, talking about other Red Hat products being, being part of that conversation with re and OpenShift, it's really a great time to, to be automating right now. >>And it's interesting. And the Ansible community that's well, well known. They all know each other and it's, it, I won't say niche, it's not niche anymore. It used to be one of those areas where super important for making things run now we need to take cloud and cloud scale. Horizontal scalability across multiple environments is kind of an Ansible thing, right? It's like you need to think about how to scale the Ansible concept. And I think that's the big exciting thing that I see with Cloud Native Andrews is this idea that, you know, what Ansible stood for back then now applies to almost all environments. So the automation, the scaling of, of, of configurations and tearing stuff down and standing things up with machines and software is just, I think, an incredible opportunity. And I think it operations is now in the developer's hands and data and security ops are front and center in, in all these conversations. And it's gonna be super exciting. Can't wait to, can't wait to hear. Okay. Thanks for coming on. I really appreciate it. Thanks for, for giving your opinion. >>All right. I appreciate it. Thank you very much for hosting us. See you and we'll see you there in Chicago. >>Okay. Andrew's been a creative senior manager and it's potential marketing to breaking it down, getting the preview on what's coming, expect to hear more about automation and how it's relevant at scale and, and all new things are happening with cloud native inflection point. We're living right now. So we'll see you there. Thanks for watching.

(soft music) >> Hi everyone. And welcome to this special cube conversation and kickoff preview of the Mobile World Congress Barcelona event. It's a physical event that's going to be taking place in person. It will probably be the first hybrid big event 68 days until the June 28th kickoff. You might've heard TelcoDr, Telco disruptor. Is on a mission to move the telco industry to the public cloud. And, and, and it's been taken of one of the biggest spaces this year from Erickson is the big story everyone's talking about. And of course the CUBE is excited to be there and broadcast and be a partner with TelcoDr. So I'm excited to bring on the founder and CEO of TelcoDr. Danielle Royston. Danielle great to see you. Thanks for coming on for this Mobile World Congress preview. >> Thank you so much for having me. I'm psyched to talk to you about this, its going to be great. >> So Erickson always has the biggest booth 14 years. You're disrupting the Barcelona not people's shorts going to be on or off. It's officially on, it's happening. And there's going to be a physical event we're coming out of COVID still a risky move. It's going to be a big hybrid event. It's going to be in person. Tell us the story. How did you guys come out of nowhere a disruptor take the biggest real estate in the place and turn it into a community event. A news event, immediate event, everything tell us. >> Yeah, well, you know, I think it was March 9th a little over a month ago. Ericsson announced that they were pulling out of MWC and it's very analogous to what happened in 2020. They were one of the first vendors to bail as well. And it kind of started this like tidal wave of people saying, can't do it. And I think the distinction now is that, that was at the beginning of COVID. There was a lot of unknowns, you know, is it coming? Is it not? Is it safe? Is it not? We're now, you know, year 50 to three, four months into it. I think that when you look at where we are now cases are trending down. The vaccine is up. And I think the legacy players were sort of backward looking they're like, this is a repeat of 2020. We're going to, it's not safe to go. We're going to pull out. And I'm like with a hundred days to go. And the vaccine ramping, I think I see it a different way. I think there's a really big opportunity. John Hoffman, CEO of the GSMA had put out a two page missive on LinkedIn where he was personally responding to questions about how serious they were about making sure that the event was safe and could be held. And my, my view was this is going to happen. And with Ericsson pulling out, I mean this is hollowed ground. I mean, this is, you know, a, you know, massively successful company that has customers literally trained like Skinner's chickens to come to the same spot every year. And now I get to, you know, put out my shingle right there and say welcome and show them the future , right? And instead of the legacy past and all the normal rhetoric that you hear from those you know, sort of dinosaurs, Ericsson and Nokia now they're going to hear about the public cloud. And I'm really excited for this opportunity. I think the ROI on this event is instant. And so it was, it was a pretty easy decision. I think I thought about it for about 30 seconds. >> It's a real bold move. And it's, again, it's a risk that pays off if it happens, if it doesn't, you know, you didn't happen but you're like, it's like a, it's like the the startups that put a Superbowl commercial for the first time, it's a big hit and it's a big gamble that pays off huge. Take us through, I heard, how did it all happen? Did you just wake up and saw it was open? How do you know that it was open? Was it like, does the email go out, say hey I've got this huge space for >> Well, I mean, it was big news. It was big news in the industry that they were pulling out and all the journalists were like, Oh, here we go again. You know, everyone's going to bail, who who's next right? And, and everyone was sort of like building that sort of negative momentum energy. And I'm like, we got to squash this. So I put out a tweet on Twitter. I mean, I'm not the most followed person but I'm kind of known in telco. And I was like, hey GSMA, I'll take over the booth. And I don't think people even liked my tweet, right? Like no likes no retweets. I reached out to a couple of journalists. I'm like, let's do an interview. Let's do a story. Everyone's like, we'll have you on the podcast like in a month, I'm like what?! So, so when John Hoffman had put out that letter I had connected to him. And so I was like, Oh, I'm connected to the CEO of the GSMA. So I went out on LinkedIn and I referenced the story and I said, John Hoffman, I'll take over the booth. And I think about 30 minutes later he responded and said, let's do it. And I said, great, who do I talk to? And I was in touch with someone within a couple of hours. And I think we put the whole deal together in 48. And I think wrote the press release and announced it on Friday. So happened on Tuesday the ninth, announced by that Friday. And I really, I was like, GSMA, we've got to get this out. And we got to stop the negative momentum of the show and get people to realize it's going to be different in June. This is going to happen. Let's go do it. And so I think they are they're psyched that I stepped into the booth it's big booth it's 65,000 square feet, 6,000 square meters for for the rest of the World that use it, the metric system. And I mean, that's huge. I mean, that's the size of a professional pitch in a in a football field, a soccer field. That's a one and a half football fields. It's, it's a ton of space. It's a ton of space pull off. >> I think what's interesting is there's a points out that this new business model of being connected you were on LinkedIn, you connect to them you get a deal done so fast. This is how this is the direct to consumer as a start-up you're literally took over the primo space the best space in the area. So congratulations. And, and the other thing that's notable and why I'm excited to talk to you is that this kind of sets the table for the first global what I call hybrid event. This will probably be a cornerstone case study in and of itself because we're still kind of coming out of the pandemic. People are getting vaccinated. People want to fly. They want to get out of the house, were partnering with the CUBE and the CUBE 365 platform. And, you know, we'd love hybrid. We'd love doing events, theCUBE that's what we do with video. Now, we're going to do a partnership with you to create this hybrid experience. What can people and guests who come to Barcelona or watch remotely expect? >> Yeah, so I think there's a couple of experiences that we're trying to drive in the booth. I think obviously demonstrations, you know I can't fill 65,000 square feet on my own. I'm a startup small company. And so I am inviting like-minded forward thinking companies to join me in the booth. I'm, I'm paying for it providing a turnkey experience for those vendors. And so I think what we have in common is we're thinking about future technologies, like open ran on the network side and obviously public cloud which is a big part of my message. And so first and foremost, foremost, there's, you know come and see the companies that are driving the change the new technologies that are out there and what's available for, for carriers to start to adopt and think about. MWC is a meeting intensive event. Deals are done at this show. In 2019, I think the stat is $65 billion of deals were put together at the show. And so a big component of the booth will be a place for executives to come together and have private conversations. And so we're going to have that. So that's going to be a big piece of it. And I think the third part is driving education and thought leadership. And so there's going to be a whole, you know, talk track right? Tech topics, business topics customer case studies involve the hyperscalers and really start to educate the telco community around these new technologies. But there'll be shorter talks. They won't be like hour long keynotes. We're talking 15, 20 minutes. And I think one thing that we're going to do with you as you were just talking about with theCUBE is, you know MWC was the first big show to have to cancel with COVID I think in 2019, sorry, 2020, the the dates it's always the last Monday in February and and the rest of that week. And so that's like right at the beginning of that of the COVID stuff, Italy was just starting to take off. So it was one of the first shows that had to make a big call and decide to cancel, which they did. This is going to be one of the first shows that comes back online, post COVID right? And so I don't think things just snap back to the way that they used to be. I don't think we, as consumers are going to snap back to the way that we operating we're now used to being able to get curbside delivery from any restaurant in the city, right. I mean, it's just, it's just a sort of a different expectation. And so partnering with theCUBE, we really want to provide an experience that brings the virtual people into the booth. Typically in events like this you really have to be there to see it boosts are kind of like unveiled the day of the show. What's going on. One thing I'm trying to do is really educate people about what you can expect. What can you see? This is what it's going to look like. And so we're going to start to share some pictures of the booth of, of, you know, what it looks like. Number one, to drive excitement with the partners that are coming, right. Like you're going to be part of something really, really fabulous. I think number two attendees can wait, I don't know week of to make the decision to go. And so maybe if COVID continues to trend down and vaccines are, are picking up steam, maybe they're like it's safe for me to go and I want to go be a part of that. But I think from here on out we're going to have sort of that virtual experience. It's always going to be part of shows. And so we're going to experiment with you guys. We're going to have a live streaming event over the course of the, you know, all MWC. It's going to be a way for people who are unable to travel or, you know, can't afford it. COVID or whatever, see what's going on in the booth. And it's going to be everything from listen to a talk to watch what you guys are typically famous for, your awesome interviews. We're going to have a man on the street, you know, like you know, we're here at, at a demo station, take us through your little demo. We're going to have telepresence robots that people can reserve. And, you know, cruise to the booth, the robot can go to a talk. The robot can watch on this streaming thing the robot can go to a demo. The robot can go to a meeting and it's controlled by the the virtual attendees and so experimenting, right? Like how do we make this great for virtual people? How do we make the virtual people feel part of the physical? How do the physical people feel? The virtual people that are attending and really just make it feel like a community of both. So really excited >> That's super awesome. And I think one of the, first of all, thank you for having paying for everyone and including theCUBE in that but I think this speaks to the ecosystem of open you're bringing, you're creating an open ecosystem. And I think that is a huge thing. So for people who are at Mobile World Congress in Barcelona this is going to be a nice, safe place to hang space as well as get deals done and to be comfortable doing media center, we'll get you on the digital TV, but also you're also designing the first what I call the first hybrid experience not just having people, having on-demand videos on their website, connecting Barcelona with other parts of the World, with meetings and stories and content. I think that to me is going to be a great experiment slash upgrade. We'll see, we'll get to see it. >> Well, it was really, I mean, we all lived through 2020. I mean, some of the shows went on AWS's re-invent happened. Google did like a crazy nine week program. It's very lonely to participate in those virtual events right. You know, you kind of log on by herself. No, one's really tweeting about it. You're watching, you know, an event the event is great, but it was really lonely. And so, you know, and I think what people love about the physical events is we're together and we're networking and we're meeting people. And so, you know, I think continue to evolve that experience so that virtual is not as lonely. So we'll see, we'll see how it goes. >> No, I've got to say your, your vision is really aligned with us and others that are in this open innovation World. Because if you look at like theCUBE physical went away, we had no events. We did Q virtual, a new brand. It wasn't a pivot. It was an extension, a line extension of theCUBE. Now theCUBES coming back to the physical. We're going to bring that cube virtual to connect everybody. So this is it. And it just amplifies the value of the physical event. So if done right, is so much cooler. So, so that's cool. And what I want to ask you though on the physical side to kind of bring it back to physical is there's still going to be keynotes. There's still going to be talks at Mobile World Congress. And so I saw that schedule and I just saw last week GSMA announced you're going to be doing a keynote speech. That's amazing. So how did that happen? So give us the lowdown on the keynote that you're doing. >> I'm sure the entire industry is like that happened. And it probably has something to do with the back that I have one of the biggest booths at the space. I always, you know, put in a request to speak. I feel that I have really exciting message to share with the industry. Over the last I guess it's been 9 or 10 months. I really been trying to amplify, amplify my voice. I have a podcast, I have a newsletter I'm talking to execs. I have a list that I literally go down one by one stalking each executive of like have I talked to them like how I told them about like the power of the public cloud. And so I am super thankful that I have this opportunity to spread that this message and I'm, I'm planning a really epic talk, just I really want to shake the industry. And this is, this is my opportunity, right? This is my opportunity to stand on the biggest stage in our industry. And command a presence and send out my message. And I'm absolutely thrilled to go do it. And I hope I crush it. I hope it's like a mic drop experience and can't wait to do it. >> Well, we're looking forward to covering it. And we love the open vision. We love the idea of public cloud and the enablement and the disruption, because just like you got the deal so fast, you can move fast with modern applications with the cloud moving at cloud scale, complete content, game changer, so great stuff. So totally applaud that looking forward to, and we're we're here to cheer you on and, and and ask the tough questions. I do want to get to on Twitter yesterday though, you put out on tweetstorm on Twitter, about the plans kind of teasing out the booth. How you going to plan to build the booth, are you worried that you're opening up too much of the kimono here and opened up putting too much on the table because it's usually a secret Mobile World Congress is supposed to be secret, not publicly out there. What, what's the, you know >> Well, I mean, I think this is just a little bit of a change has happened post COVID, right. You know, people usually build their booth in and don't reveal it until the first day of the show. And it's kind of like this excitement to go see what is there, what's their big message. And what's the big reveal. And there's always fun stuff. I think this year is a little bit different. So at first, like I said, at first big event back. I think I need to create a little bit of excitement for people who are going and maybe entice people that maybe you should think about coming. I realize this is a super personal decision, right? It depends on where you are and the country and your, your health and your status. But, but if you can do it I want people to know that you're going to miss out. It's going to be super fun. So, um, so yeah. >> Well, let's take it. Let's take a look at the booth though. And that's why my next question, I want to see I know we have guys, do we have that, rendering, let's pull that up and let's talk this through. Let's go look at the rendering. So you can see here on the screen, take us through this. >> Yeah. So what we want to do is give the sense of, of cloud city, right? And that's what we're calling this space in cloud cities. There's in a city there's outdoor space. Like you see here, and then there's in indoor space. And indoors is for you where you work, where you buy, where you meet. And so you can see here on the left, the demo stations that would have different vendors displaying you know, and it kind of, it goes way back. I mean, what we're feeling like I said is like a football field, an American football field and the half or a European football field a pitch it's pretty, it's pretty extensive. And so we think we're going to have, I don't know, 20 30 vendors showing their, their different software. I think we're, we're scheduling or planning for about 24 different meeting rooms that we can schedule all COVID safe with the, with the space requirements in there, but on the out in that outdoor space, it would be where you learn right. The education and then I think we're going to have this fabulous booth for the, for theCUBE. It's going to look, It's just so amazing with the backdrop of this amazing building. And, you know, I think I underappreciated or didn't really realize, you know, how devastated the both the event planning industry has been from COVID as well as construction. You know, obviously when events were shut down these companies had to lay off thousands of workers. Some of the big firms have laid off 50% of their workforce. And those people, you know they didn't just go home and sit around. They, they had to come up with a livelihood and this people have pivoted into another job. And they're not really, I mean events aren't really back yet. So some of these firms are shrunk. You know, the manpower is, is severely reduced. But then I think on the other side is and you can see this in just housing construction. There's a lumber shortage, there's a shortage of materials. And so everything that we source for the booth pretty much has to come from Spain. And so when we look at the booth, you know, we have, we have a pretty significant ceiling. Well, it looks like the roof of the building. It's an engineering feat to do. That we're still working through the sure. Someone with a protractor is doing lots of math. You know, the glass, we have those huge beautiful glass spans in the front getting a glass that spans that height. I think it's, I think it's 18 feet. It's six meters tall. That's going to be hard things like the flooring. I want to have like hardwood, laminate flooring. So it looks like hardwood floors. Don't know if we can find them right there. Like, why don't you do carpet? I'm like, can you just check one more vendor? I really want my floor. So, so we'll see how it goes. And yeah, I, I think that sharing this plan, the trials and tribulations, like how can this small startup, right? That usually, you know, take over a space that usually takes nine months to plan, right? Who is this girl? What is she doing? How are they going to pull this off? You know, I think it's like, grab your popcorn and watch the train wreck or, you know, hero's journey. We get it done. >> Well, people are on clubhouse. They're bored, they want to get out. I think this is a case study. Mobile World Congress has a huge economic impact for the, as a show it's got its own little economy built around it. Impacts the, the country of Spain in Barcelona, the city, a great city. People love it. And so it certainly is notable and newsworthy. We will be following that story. I have to ask you more of a, kind of a tactical question. If you don't mind, while I have you here, can you talk about some of the vendors that are coming and the kinds of talks you're going to have inside the booth and and how do people get involved? You mentioned it's open to people who love open ran and open public cloud, open technologies. I mean, that's pretty much everybody that's cool and relevant, which is like almost the whole World now. So like, is it going to be a space, is there a criteria? How do people get involved? What's the collaboration formula. >> Yeah, no. I had been working on putting together a list of potential vendors. You'd be surprised, not everyone is, is as bullish as I am on the public cloud. And so there was a little bit of a filtering criteria, but otherwise anyone can come right enterprise software vendors in telco where their primary customer is a communications service provider. That's their software runs on the public cloud come on in, right. People using open man. And it's still a little sort of small band of cohorts that are really trying to drive this new technology forward. And, and they're growing up, going up against some of the biggest companies in telco, right? They're going up against Huawei. They're going up against Ericcson. Both those guys are, are very anti and then not really pro open rank because it's hugely disruptive to their business. And so, you know I'm pretty sure those guys are not psyched to see open ran you know, you know, become a thing in telco. And so it's really sort of about disruptive technologies that are that are in the, in the booth. And so, yeah, I'm paying for the space. I'm paying for the, build-out bring your demos bring your people, come with your marketing message and and let's, and let's build a community. And so we're talking to open ran vendors like Mavenir. Which is a pretty big name in the open ran, open ran space. I've been talking with parallel wireless and LTO star. Those are also great players, software vendors like Totogi, which is a talk that I did a little over a month ago about this new startup that has a web-scale charger that they're trying to put out there. Aria is another company that I'm really familiar with that has some cloud for software and then little tiny startups like Zquence, and some other up-and-comers that no one's heard of. So we're really excited to invite them into the booth. I've been secretly stalking Elon, Elon Musk and Starlink and SpaceX to be a part of it. And we'll see, right. I'm kind of, you know, using Twitter and whatever I can to, to reach out and see if they want to be a part of it. But yeah, it's kind of really open arms, not really excluded. >> Oh, Elon, Elon is very disruptive and you know, he reached out on, you can reach out to him on Twitter. He's accessible. I mean, you've got to break through, but he is got this antenna up for innovators. People who think differently. They love people who break down walls and markets floor open wins. I mean, we, we know there's a history we've been covering it. I've been involved in my career. People who bet against open, always lose it's happened in every single wave of innovation. So Elons gettable, lets get him. >> Who doesn't love Elon Musk. I mean, I think some people don't, I love him, he's my hero. I model a lot of the things that I do around, around his, his approach, his vision, right, 20 years ago or close to 20 years ago, 2003 he said he was going to put people on Mars. And I think people laughed at him for being like the PayPal guy and this guy's crazy. But every year he makes progress against his goals, right. We have a real landable rocket. He's doing a manned mission this week, a second man mission or third man mission. And the guy makes progress. And I think I'm on the same, same mission here. My mission is to move telco to the public cloud. I think it's a, it's a long journey, right? I think people are like, who's this girl and she's like 12 people, and what's your story? And I'm like, I don't care. I have a singular mission is a quest. I am not going to stop until I moved the industry to the public cloud. And I it's my life's mission. And I'm psyched to do it. >> Well, we love the mojo. We'd love your style. We'd love Elon Musk, his mugshot. And again, just to bring the dots together you have that same mindset, which has, you know, as people you know, love her, love or like Elon, he's a builder. Okay, he builds things and he delivers. So as you said, so know I really appreciate the work you're doing. I love your philosophy. We're in total agreement, open, open building. Doing it together as a collective, being part of something. This is what the World needs. You got a lot of great ideas in the works and we can't wait to hear them. And what you got coming up over the next 68 days. This is the first of many conversations together. Thank you so much >> Yeah, yeah, no, it's going to be so awesome. Thank you so much for having me. Psyched to talk to you about it. >> Okay Mobile World Congress is happening in Barcelona on the June 28th. It's going to be in person and it's going to be probably the biggest hybrid event to date. Be there, check out telcoDR and theCUBE and the space that they took over 14 years at the helm there. Ericcson had it, now it's TelcoDR. Danielle Royston, founder and CEO here with me from TelcoDR. Thanks for watching. (soft music)

(upbeat music) >> Hi everyone, welcome to this special CUBE conversation and kickoff preview of the Mobile World Congress, Barcelona event. It's a physical event that's going to be taking place in person. It will probably be the first hybrid big event, 68 days until the June 28th kickoff. You might've heard TelcoDR, Telco Disruptor is on a mission to move the Telco industry to the public cloud. And it's taken one of the biggest spaces this year from Ericsson, is the big story everyone's talking about. And of course theCUBE is excited to be there and broadcast and be a partner with TelcoDR. So I'm excited to bring on the founder and CEO of TelcoDR, Danielle Royston. Danielle great to see you. Thanks for coming on for this Mobile World Congress Preview. >> Thank you so much for having me. I'm psyched to talk to you about this, it's going to be great. >> So Ericsson always has the biggest booth 14 years, you're disrupting Barcelona, people are not sure it's going to be on or off. It's officially on, it's happening and there's going to be a physical event, we're coming out of COVID still a risky move. It's going to be a big hybrid event, it's going to be in person. Tell us the story. How did you guys come out of nowhere, a disruptor take the biggest real estate in the place and turn it into a community event, a news event, a media event, everything, tell us. >> Yeah, well, I think it was March 9th, a little over a month ago. Ericsson announced that they were pulling out of MWC and it's very analogous to what happened in 2020. They were one of the first vendors to bail as well. And it kind of started this like tidal wave of people saying, can't do it. And I think the distinction now is that, that was at the beginning of COVID, there's a lot of unknowns. Is it coming, is it not, is it safe, is it not? We're now, year 50 to three, four months into it. I think that when you look at where we are now, cases are trending down, the vaccine is up. And I think the legacy players were sort of backward looking. They're like, this is a repeat of 2020 it's not safe to go, we're going to pull out. And I'm like with the a hundred days to go, in the vaccine ramping, I think I see the different way. I think there's a really big opportunity. John Hoffman, CEO of the GSMA had put out a two page missive on LinkedIn where he was personally responding to questions, about how serious they were about making sure that the event was safe and could be held. And my view was this is going to happen. And with Ericsson pulling out, I mean this is hollowed ground. I mean, this is massively successful company that has customers literally trained like Skinner's chickens to come to the same spot every year. And now I get to put out my shingle right there and say welcome and show them the future. And instead of the legacy past and all the normal rhetoric that you hear from those sort of dinosaurs, Ericsson and Nokia, now they're going to hear about the public cloud. And I'm really excited for this opportunity. I think the ROI on this event is instant. And so it was a pretty easy decision. I think I thought about it for about 30 seconds. >> It's a real bold move. And again it's a risk that pays off if it happens, if it doesn't, didn't happen, but it's like the startups that put a Superbowl commercial off for the first time. It's a big hit and it's a big gamble that pays off huge. Take us through, how did it all happen? Did you just wake up and saw it was open? How did you know that it was open? Was it like, does an email go out and say, hey I got this huge space for 55 years. >> Well, I mean, it was big news. It was big news in the industry that they were pulling out and all other journalists were like, oh, here we go again. Everyone's going to bail, who's next, right? And everyone was sort of like building that sort of negative momentum energy. And I'm like, we got to squash this. So I put out a tweet on Twitter. I mean, I'm not the most followed person but I'm kind of known in Telco. And I was like, hey, GSMA, I'll take over the booth. And I don't think people even liked my tweet, right? Like no likes no retweets. I reached out to a couple of journalists. I'm like, let's do an interview, let's do a story. Everyone's like, we'll have you on the podcast, like in a month, I'm like, what's? So when John Hoffman had put out that letter I had connected to him. And so I was like, oh, I'm connected to the CEO of the GSMA. So I went out on LinkedIn and I referenced the story and I said, John Hoffman, I'll take over the booth. And I think about 30 minutes later he responded and said, let's do it. And I said, great, who do I talk to? And I was in touch with someone within a couple of hours. And I think we put the whole deal together in 48. And I think wrote the press release and announced it on Friday. So happened on Tuesday the 9th, announced by that Friday. And I really, I was like, GSMA, we've got to get this out, and we got to stop the negative momentum of the show, and get people to realize it's going to be different in June. This is going to happen, let's go do it. And so I think they're psyched that I stepped into the booth. It's a big booth it's 65,000 square feet. 6,000 square meters for the rest of the world that use the metric system. And I mean, that's huge. I mean, that's the size of a professional pitch in a football field, a soccer field. That's a one and a half football fields. It's a ton of space, it's a ton of space to fill up. >> I think what's interesting, as this points out that this new business model of being connected you were on LinkedIn, you connect to them, you get a deal done so fast. This is the direct to consumer as a start up, you're literally took over the Primo space, the best face in the area, so congratulations. And the other thing that's notable and why I'm excited to talk to you is that this kind of sets the table for the first global, what I call hybrid event. This will probably be a cornerstone case study in and of itself, because we're still kind of coming out of the pandemic. People are getting vaccinated, people want to fly, they want to get out of the house. You're partnering with theCUBE, and the CUBE 365 platform. And we love hybrid, we love doing events, theCUBE, that's what we do with video. Now, we're going to do a partnership with you to create this hybrid experience. What can people and guests who come to Barcelona or watch remotely expect? >> Yeah so, I think there's a couple of experiences that we're trying to drive in the booth. I think obviously demonstrations, I can't fill 65,000 square feet on my own. I'm a startup small company. And so I am inviting like-minded, forward thinking companies to join me in the booth. I'm paying for it providing a turnkey experience for those vendors. And so I think what we have in common is we're thinking about future technologies, like open ran on the network side and obviously public cloud which is a big part of my message. And so first and foremost, come and see the companies that are driving the change, the new technologies that are out there, and what's available for carriers to start to adopt and think about. MWC is a meeting intensive event. Deals are done at this show. In 2019, I think the stat is $65 billion of deals were put together at the show. And so a big component of the booth will be a place for executives to come together and have private conversations. And so we're going to have that. So that's going to be a big piece of it. And I think the third part is driving education and thought leadership. And so there's going to be a whole talk track, right? Tech topics, business topics, customer case studies, involve the hyperscalers, and really start to educate the telco community around these new technologies. But there'll be shorter talks. They won't be like hour long keynotes. We're talking 15, 20 minutes. And I think one thing that we're going to do with you as you were just talking about with the CUBE is, you know, MWC was the first big show to have to cancel with COVID, I think in 2019, sorry, 2020, the dates, it's always the last Monday in February and the rest of that week. And so that's like right at the beginning of the COVID stuff, Italy was just starting to take off. And so it was one of the first shows that had to make a big call and decide to cancel, which they did. This is going to be one of the first shows that comes back online post COVID, right? And so I don't think things just snap back to the way that they used to be. I don't think we as consumers are going to snap back to the way that we were operating, we're now used to being able to get curbside delivery from any restaurant in the city. I mean, it's just a sort of a different expectation. And so partnering with the CUBE, we really want to provide an experience that brings the virtual people into the booth. Typically in events like this, you really have to be there to see it. Booths are kind of like unveiled the day of the show, what's going on. One thing I'm trying to do is really educate people about what you can expect. What can you see? This is what it's going to look like. And so we're going to start to share some pictures of the booth of what it looks like. Number one, to drive excitement with the partners that are coming, right? Like you're going to be part of something really, really fabulous. I think number two, attendees can wait, I don't know week off, to make the decision to go. And so maybe if COVID continues to trend down and vaccines are picking up steam, maybe they're like it's safe for me to go and I want to go be a part of that. But I think from here on now we're going to have sort of that virtual experience. It's always going to be part of shows. And so we're going to experiment with you guys. We're going to have a live streaming event, over the course of all MWC. It's going to be a way for people who are unable to travel or can't afford it, COVID or whatever, see what's going on in the booth. And it's going to be everything from listen to a talk, to watch what you guys are typically famous for, your awesome interviews. We're going to have man on the street, like we're here at at a demo station, take us through your little demo. We're going to have telepresence robots that people can reserve. And cruise through the booth the robot can go to a talk. The robot can watch on this streaming thing, the robot can go to a demo. The robot can go to a meeting and it's controlled by the the virtual attendees. And so experimenting, right? Like how do we make this great for virtual people? How do we make the virtual people feel part of the physical? How do the physical people feel the virtual people that are attending and really just make it feel like a community or both. So, we're excited. >> That's super awesome, and first of all, thank you for having paying for everyone and including theCUBE in there. But I think this speaks to the ecosystem of open, you're creating an open ecosystem. And I think that is a huge thing. So for people who are at Mobile World Congress in Barcelona this is going to be a nice, safe place to hang space as well as get deals done. As we comfortable doing media center, we'll get you on the digital TV, but also you're also designing what I call the first hybrid experience, not just having people, having on-demand videos on their website, connecting Barcelona with other parts of the world, with media and stories and content. I think that to me is going to be a great experiment slash upgrade. We'll see, we'll get to see it how it goes. >> Well, it was really, I mean, we all lived through 2020. I mean, some of the shows went on, AWS's re-invent happened, Google did like a crazy nine week program. It's very lonely to participate in those virtual events. You kind of log on by ourselves. No one's really tweeting about it. You're watching an event, the event is great but it was really lonely. And so I think what people love about the physical events is we're together and we're networking and we're meeting people and so, I think continuing to evolve that experience so that virtual is not as lonely. So we'll see, we'll see how it goes. >> I got to say your vision is really aligned with us and others that are in this open innovation world. Because if you look at like theCUBE, physical went away, we had no events, we did CUBE Virtual, a new brand. It wasn't a pivot, it was an extension, a line extension of theCUBE. Now theCUBE's coming back to the physical, we're going to bring that CUBE Virtual to connect everybody. So this is it, and it just amplifies the value of the physical event. So if done right, it's so much cooler. So that's cool. And what I want to ask you on the physical side to kind of bring it back to physical is, there's still going to be keynotes, there's still going to be talks at Mobile World Congress, and so I saw that scheduled and I just saw last week, GSM may announced you're going to be doing a keynote speech. That's amazing, so, how did that happen? So give us the lowdown on the keynote that you're doing. >> I'm sure the entire industry is like that happened. And it probably has something to do with the fact that I have one of the biggest booths at the space. I always put in a request to speak. I feel that I have a really exciting message to share with the industry. Over the last, I guess it's been nine or 10 months, I really been trying to amplify my voice. I have a podcast, I have a newsletter, I'm talking to execs. I have a list that I literally go down one by one stalking each executive of like, have I talked to them? Like how I told them about like the power of the public cloud. And so I am super thankful that I have this opportunity to spread that this message and I'm planning a really epic talk. I really want to shake the industry And this is my opportunity, right? This is my opportunity to stand on the biggest stage in our industry and command a presence and send out my message. And I'm absolutely thrilled to go do it. And I hope I crush it, I hope it's like a mic drop experience. And can't wait to do it. >> Well, we're looking forward to covering it. And we love the open vision. We love the idea of public cloud and the enablement and the disruption. Because just like you got the deal so fast you can move fast with modern applications with the cloud, moving at cloud scale, complete content game changer, so great stuff. So totally applaud that looking forward to and we're here cheer you on and ask the tough questions. I do want to get to... On Twitter yesterday though, you put out on tweetstorm on Twitter about the plans kind of teasing out the booth, how are you going to plan to build the booth. Are you worried that you're opening up too much of the kimono here and putting too much on the table 'cause it's usually a secret. Mobile World Congress is supposed to be secret, not publicly out there. What's the-- >> Well, I mean, I think this is just a little bit of a change has happened post COVID, right. People usually build their booth at don't reveal it until the first day of the show and it's kind of like this excitement to go see what is their big message and what's the big reveal. And there's always fun stuff. I think this years will be different as a first, like I said, a first big event back. I think I need to create a little bit of excitement for people who are going and maybe entice people that maybe you should think about coming. I realized this is a super personal decision, right? It depends on where you are and the country and your health and your status. But if you can do it, I want people to know that you're going to miss out. It's going to be super fun. So, yeah. >> Let's take a look at the booth 'cause I'm sure my next question wants to see. I know we have guys, do we have that rendering... Let's pull that up and let's talk this through. Let's go look at the rendering. So you can see here on the screen... Take us through this. >> Yeah, so what we want to do is give the sense of of cloud city and that's what we're calling the space. In cloud city there's outdoor space, like you see here. And then there's an indoor space. And indoors is where you work, where you buy, where you meet. And so you can see here on the left, the demonstration that would have different vendors displaying and it goes way back. I mean, what we're feeling like I said is like a football field, an American football field and a half or a European football field, a pitch. It's pretty extensive. And so we think we're going to have, I don't know, 20, 30 vendors showing their different software. I think we're scheduling or planning for about 24 different meeting rooms that we can schedule. All COVID safe with the space requirements in there. But in that outdoor space, it would be where you learn, the education. And then I think we're going to have this fabulous booth for theCUBE. It's going to look just so amazing with the backdrop of this amazing building. And I think I underappreciated or didn't really realize how devastated the event planning industry has been from COVID as well as construction. Obviously when events were shut down, these companies had to lay off thousands of workers. Some of the big firms have laid off 50% of their workforce. And those people they didn't just go home and sit around, they had to come up with a livelihood and those people have pivoted into another job. And they're not really, I mean, events aren't really back yet. So some of these firms are shrunk. The manpower is severely reduced. But then I think on the other side is, and you can see this in just housing construction. There's a lumber shortage, there's a shortage of materials. And so everything that we source for the booth, pretty much has to come from Spain. And so when we look at the booth, we have a pretty significant ceiling, where it looks like the roof of the building. It's an engineering feat to do that we're still working through the... I'm sure someone with a protractor is doing lots of math. The glass, we have those huge beautiful glass spans in the front. Getting a glass that spans that height, I think it's 18 feet. It's six meters tall. That's going to be hard. Things like the flooring. I want to have like hardwood laminate flooring. So it looks like hardwood floors. Don't know if we can find them. There like, why don't you do carpet? I'm like, can you just check one more vendor. I really want my floor. So we'll see how it goes. And yeah, I think that sharing this plan, the trials and tribulations, like how can this small startup, take over a space that usually takes nine months to plan, right? Who is this girl? What is she doing? How are they going to pull this off? I think it's like, grab your popcorn and watch the train wreck or hero's journey. We get it done. And I'm obviously-- >> It's like keeping up with the Kardashians. It's the bachelor, it's theCUBE, reality TV show. We can keep track of everything. It's all the fun. >> No, totally. I don't know how many people would be interested in a reality TV show about how you build a booth but I find it absolutely fascinating. I think a lot of people have eyes on the GMA and MWC coming out of COVID and what does that look like, and what's the attendance like. And so I'm excited to share (murmurs) So, exact. >> Well, people are on clubhouse, they're bored, they want to get out. I think this is a case time. Mobile World Congress has a huge economic impact, as a show it's got its own little economy built around. It impacts the country of Spain in Barcelona, the city, a great city. People love it. And so it certainly is notable and newsworthy. We will be following that story. I have to ask you more kind of a tactical question if you don't mind, while I have you here. Can you talk about some of the vendors that are coming and the kinds of talks you're going to have inside the booth and how do people get involved? You mentioned it's open to people who love open ran and open public cloud, open technologies. I mean, that's pretty much everybody. That's cool and relevant, which is like almost the whole world now. Like, is it going to be a space as a criteria? How do people get involved? What's the collaboration formula? >> Yeah, no, I have been working on putting together a list of potential vendors. You'd be surprised, not everyone is as bullish as I am on the public cloud. And so there was a little bit of a filtering criteria but otherwise anyone can come. Enterprise software vendors in telco where their primary customer is communications service provider. That's their software runs on the public cloud, come on in. People using open ran. And it's still a little sort of small band of cohorts that are really trying to drive this new technology forward and they're going up against some of the biggest companies in telco, right? They're going up against Huawei, they're going up against Ericsson. Both those guys are very anti and they're not really pro open ran 'cause it's hugely disruptive to their business. And so I'm pretty sure those guys are not psyched to see open ran become a thing in telco. And so it's really sort of about disruptive technologies that are in the booth. And so yeah, I'm paying for the space, I'm paying for the build-out, bring your demos, bring your people, come with your marketing message and let's build a community. And so we're talking to open ran vendors like Mavenir which is a pretty big name in the open ran space. I've been talking with Parallel Wireless in LTO Star. Those are also great players. Software vendors like to Tutoki, which is a talk that I did a little over a month ago about this new startup that has a web-scale charger that they're trying to put out there. Auria is another company that I'm really familiar with that has some cloud for software. And in little tiny startups like Sequence and some other up-and-comers that no one's heard of. So we're really excited to invite them into the booth. I've been secretly stalking Elon Musk, and Starlink and Space X to be a part of it. And we'll see. I'm kind of using Twitter and whatever I can to reach out and see if they want to be a part of it. But yeah, it really open arms. Not really excluding-- >> Well, Elon is very disruptive and you can reach out to him on Twitter. He's accessible. I mean, you've got to break through and he's antenna up for innovators, people who think differently, they love people who break down walls and markets lower open wins. I mean, we know there's a history, we've been covering it. I've been involved in all my career. People who bet against open always lose. It's happened in every single wave of innovation. So Elon's gettable. Let's get him. >> Who doesn't love Elon Musk? I mean, I think some people don't, I love him. He's my hero. I model a lot of the things that I do around his approach, his vision. 20 years ago, or close to 20 years ago, 2003, he said he was going to put people on Mars. And I think people laughed at him for being like the PayPal guy and this guy is crazy, but every year he makes progress against his goals. We have a relandable rocket. He's doing a manned mission this week, the second man mission or third man mission. The guy makes progress. And I think I'm on the same mission here. My mission is to move Telco to the public cloud. I think it's a long journey, right? I think people are like, who is this girl? And she's like 12 people and what's her story. And I'm like, I don't care. I have a singular mission is a quest. I am not going to stop until I move the industry to the public cloud. And it's my life's mission and I'm psyched to do it. >> Well, we love the mojo, we love your style. We love Elon Musk's mojo. And again, just to bring the dots together you have that same mindset, which is, love like Elon, he's a builder. He builds things and he delivers. So as you said, so... Danielle, I really appreciate the work you're doing. I love your philosophy. We're in total agreement. Open building. Doing it together as a collective, being part of something? This is what the world needs. You got a lot of great ideas in the works and we can't wait to hear them. And what you got coming up over the next 68 days. This is the first of many conversations together. Thank you. >> Yeah, that's going to be so awesome. Thank you so much for having me. Psyched to talk to you about it. >> Okay. Mobile World Congress is happening in Barcelona on the June 28th. It's going to be in person and it's going to be probably the biggest hybrid event to date. Be there, check out TelcoDR and theCUBE and the space that they took over 14 years at the helm there. Ericson had it, now it's TelcoDR. Danielle Royston, founder and CEO here with me from TelcoDR. Thanks for watching. (upbeat music)

>> Okay, listen, we're gearing up for the start of the Snowflake Data Cloud Summit and we want to go back to the early roots of Snowflake. We got some of the founding engineers here, Abdul Muneer, Ashish Modivala, and Alison Lee. They're three individuals that were at Snowflake in the early years and participated in many of the technical decisions that led to the platform that is making Snowflake famous today. Folks, great to see you. Thanks so much for taking some time out of your busy schedules. >> Than you for having us. >> Same. >> Hey, it's got to be really gratifying to see this platform that you've built, you know, taking off and changing businesses. So, I'm sure it was always smooth sailing, right? There were no debates, were there ever? >> Never. >> Now, I've never seen an engineer get into a debate. (laughter) >> All right, so seriously though, so take us back to the early days, you guys, you know, choose whoever wants to start but, what was it like early on? We're talking 2013 here, right? >> That's right. >> When I think back to the early days of Snowflake, I just think of all of us sitting in one room at the time you know, we just had an office that was one room with you know, 12 or 13 engineers sitting there, clacking away at our keyboards, working really hard, churning out code, punctuated by, you know, somebody asking a question about, "Hey, what should we do about this? Or what should we do about that?" And then everyone kind of looking up from their keyboards and getting into discussions and debates about, about the work that we were doing. >> So Abdul, it was just kind of heads down, headphones on, just coding, or >> I think there was a lot of talking and followed by a lot of typing. And, and I think there were periods of time where, you know, anyone could just walk in into the office and probably out of the office and all they'd hear is probably people typing away at their keyboards. And one of my vivid, most vivid memories is is actually I used to sit right across from Alison and there's these huge two, two huge monitors monitors between us. And I would just hear her typing away at our keyboard. And sometimes I was thinking and and all that typing got me nervous because it seemed like Alison knew exactly what, what she needed to do, and I was just still thinking about it. >> So Ashish was this like bliss for you as a developer, an engineer, or was it, was it a stressful time? What was the mood? >> When you don't have a whole lot of customers there's a lot of bliss, but at the same time, there's a lot of pressure on us to make sure that we build the product. There was a timeline ahead of us, we knew we had to build this in a certain timeframe. So one thing I'll add to what Alison and Abdul said is we did a lot of white boarding as well. There were a lot of discussions and those discussions were a lot of fun. They actually cemented what we wanted to build. They made sure that everyone was in tune and there we have it. >> (Dave) Yeah, so, I mean, it is a really exciting time doing any startup. When you have to make decisions in development and variably you come to a fork in the road. So I'm curious as to what some of those forks might've been, how you guys decided, you know, which fork to take. Was there a Yoda in the room that served as the Jedi master? I mean, how are those decisions made? Maybe you could talk about that a little bit. >> Yeah. That's an interesting question. And I think one of, as I think back, one of the memories that, that sticks out in my mind is this epic meeting in one of our conference rooms called North star. And many of our conference rooms are named after ski resorts because the founders are really into skiing and that's why, that's where the Snowflake names comes from. So there was this epic meeting and and I'm not even sure exactly what topic we were discussing. I think it was, it was the signup flow and there were a few different options on the table. and one of the options that, that people were gravitating to one of the founders didn't like it. And they said a few times that there's this makes no sense, there's no other system in the world that does it this way. And I think one of the other founders said that's exactly why we should do it this way. And, or at least seriously considered this option. So I think there was always this this tendency and this impulse that that we needed to think big and think differently and not see the world the way it is but the, the way we wanted it to be and then work our way backwards and try to make it happen. >> Alison, any fork in the road moments that you remember? >> Well, I'm just thinking back to a really early meeting with Ashish and a few of our founders where we were debating something, probably not super exciting to a lot of people outside of hardcore database people which was how to represent our column metadata. And I think it's funny that you, that you mentioned Yoda because we often make jokes about one of our founders Terry and referred to him as Yoda, because he has this tendency to say very concise things that kind of make you scratch your head and say, "Wow why didn't I think of that?" Or, you know, what exactly does that mean? I never thought about it that way. So I think when I think of the Yoda in the room, it was definitely Terry. >> Ashish, anything you can add to this conversation? >> I'll agree with Alison on the Yoda comment, for sure. Another big fork in the road I recall was when we changed one of our meta store where we store our on internal metadata. We used to use a tool called MySQL and we changed it to another database called FoundationDB, I think that was a big game changer for us. And, you know, it was a tough decision, it took us a long time. For the longest time we even had our own little branch it was called FoundationDB and everybody who was developing on that branch. It's a little embarrassing, but, you know, those are the kinds of decisions that alter the shape of Snowflake. >> Yeah, I mean, these are really, you know, down in the weeds hardcore stuff that a lot of people might not be exposed to. What would you say was the least obvious technical decision that you had to make at the time? And I want to ask you about the most obvious too, but what was the one that was so out of the box? I mean, you kind of maybe mentioned it a little bit before but I wonder if we could double click on that? >> Well, I think one of the core decisions in our architecture is the separation of compute and storage. And, you know, that is really core to our architecture, and there are so many features that we have today for instance, data sharing, zero copy cloning, that we couldn't have without that architecture. And I think it was both not obvious, and when we told people about it in the early days there was definitely skepticism about being able to make that work and being able to have that architecture and still get great performance. >> Exactly. >> Yeah. Anything that was like clearly obvious that maybe that, maybe that was the least and the most that, that separation from compute and store, because it allowed you to actually take advantage of Cloud native. But was there an obvious one that you know, is it sort of dogma that you, you know philosophically live by, you know, to this day? >> I think one really obvious thing is the sort of no tuning, no knobs, ease of use story behind Snowflake. And I say, it's really obvious because everybody wants their system to be easy to use. But then I would say there were tons of decisions behind that, that it's not always obvious, the implications, of such a choice, right? And really sticking to that. And I think that that's really like a core principle behind Snowflake, that led to a lot of non-obvious decisions as a result of sticking to that principle. >> So >> I think, to add to that, now you've grabbed us thinking. I think another really interesting one was really, should we start from scratch or should we use something that already exists and build on top of that? And I think that was one of these almost philosophical kind of stances that we took, that a lot of the systems that were out there were the way they were, because, because they weren't built for the, for the platforms that they were running on. And the big thing that we were targeting was the Cloud. And so one of the big stances we took was that we were going to build from scratch. And we weren't going to borrow a single line of code from many other database out there. And this was something that really shocked a lot of people and many times that this was pretty crazy, and it was, but this is how you build great products. >> That's awesome. All right Ashish, I should give you the last word. We got like just like 30 seconds left, bring us home. >> Till date, actually one of those said shocks people when you talk to them and they say, "Wow, you are naturally using any other database, and you build this entirely yourself." The number of people who actually can build a database from scratch are fairly limited, the group is fairly small. And so it was really a humongous task, and as you've mentioned, you know, it really changed the direction of how we designed a database. What we, what does the database really mean to us, right? The way Snowflake has built a database, it's really a number of organs that come together and form the body. And that's also a concept that's novel to the database industry. >> Guys, congratulations, you must be so proud and it's going to be awesome watching the next decade. So thank you so much for sharing your stories. >> Thanks too. >> Thank you. >> Thank you.

>> Okay listen, we're gearing up for the start of the Snowflake Data Cloud Summit. And we want to go back to the early roots of Snowflake. We got some of the founding engineers here, Abdul Munir, Ashish Motivala and Allison Lee. They're three individuals that were at Snowflake, in the early years and participated in many of the technical decisions. That led to the platform and is making Snowflake famous today. Folks great to see you. Thanks so much for taking some time out of your busy schedules. >> Thank you for having us- >> Same. >> It's got to be really gratifying to see this platform that you've built, taking off and changing businesses. So I'm sure it was always smooth sailing, right? There were no debates, where there ever? >> I've never seen an engineer get into a debate. >> Yeah alright, so seriously. So take us back to the early days, you guys choose whoever wants to start, but what was it like, early on we're talking 2013 here, right? >> That's right. >> When I think back to the early days of Snowflake. I just think of all of us sitting in one room at the time, we just had an office that was one room with 12 or 13 engineers sitting there, clacking away at our keyboards, working really hard, churning out code punctuated by somebody asking a question about hey, what should we do about this? Or what should we do about that? And then everyone kind of looking up from their keyboards and getting into discussions and debates about the work that we were doing. >> So, Abdul was it just kind of heads down, headphones on just coding or? >> I think there was a lot of talking and followed by a lot of typing. And I think there were periods of time where anyone could just walk in into the office and probably out of the office and all they'd hear is probably people typing away their keyboards. And one of my most vivid memory is actually I used to sit right across from Allison and there was these two huge monitors between us. And I would just hear her typing away at her keyboard. And sometimes I was thinking and all that typing got me nervous because it seemed like Allison knew exactly what she needed to do. And I was just still thinking about it. >> So Ashish was this like bliss for you as a developer or an engineer? Or was it a stressful time? What was the mood? >> Then when you don't have a whole lot of customers, there's a lot of bliss, but at the same time, there's a lot of pressure on us to make sure that we build the product. There was a timeline ahead of us. We knew we had to build this in a certain timeframe. So one thing I'll add to what Allison and Abdul said is, we did a lot of whiteboarding as well. There were a lot of discussions and those discussions were a lot of fun. They actually cemented what we wanted to build. They made sure everyone was in tune and there we have it. >> Yeah, it is a really exciting time. We can do it any start-up. When you have to make decisions in development and variably you come to a fork in the road. So I'm curious as to what some of those forks might've been, how you guys decided which fork to take. Was there a Yoda in the room that served as the Jedi Master? How are those decisions made? Maybe you could talk about that a little bit. >> That's an interesting question. And as I think back one of the memories that sticks out in my mind is this epic meeting in one of our conference rooms called Northstar and many of our conference rooms are named after ski resorts because the founders are really into skiing. And that's where the Snowflake name comes from. So there was this epic meeting and I'm not even sure exactly what topic we were discussing. I think it was the sign up flow and there were a few different options on the table. And one of the options that people were gravitating to, one of the founders didn't like it. And they said a few times that this makes no sense. There's no other system in the world that does it this way. And I think one of the other founders said, that's exactly why we should do it this way or at least seriously consider this option. So, I think there was always this tendency and this impulse that we needed to think big and think differently and not see the world the way it is, but the way we wanted it to be and then work our way backwards and try to make it happen. >> Allison, any fork in the road moments that you remember? >> Well, I'm just thinking back to a really early meeting with Ashish and a few of our founders where we're debating something probably not super exciting to a lot of people outside of hardcore database people, which was how to represent our column metadata. And I think it's funny that you that you mentioned Yoda, because we often make jokes about one of our founders Thierry and referred to him as Yoda, because he has this tendency to say very concise things that kind of make you scratch your head and say, wow, why didn't I think of that? Or what exactly does that mean? I never thought about it that way. So, when I think of the Yoda in the room, it was definitely Thierry, >> Ashish is there anything you can add to this conversation? >> I'll agree with Allison on the Yoda comment for sure. Another big fork in the road I recall was when we changed one of our meadow store, where we store and are willing to try and metadata. We used to use a tool called my SQL and we changed it to another database called foundation DV. I think that was a big game changer for us. And it was a tough decision. It took us a long time, for the longest time we even had our own little branch it was called foundation DV and everybody was developing on that branch, it's a little embarrassing but those are the kinds of decisions that have altered the shape of Snowflake. >> Yeah, these are really down in the weeds hardcore stuff that a lot of people might not be exposed to. What would you say was the least obvious technical decision that you had to make at the time? And I want to ask you about the most obvious too, but what was the one that was so out of the box? You kind of maybe mentioned it a little bit before, but I wonder if we could double click on that? >> Well, I think one of the core decisions in our architecture is the separation of compute and storage that is really core to our architecture. And there's so many features that we have today, for instance data sharing, zero-copy cloning, that we couldn't have without that architecture. And I think it was both not obvious. And when we told people about it in the early days, there was definitely skepticism about being able to make that work and being able to have that architecture and still get great performance. >> Exactly- >> Yeah, anything that was like clearly obvious, maybe that was the least and the most that separation from compute and store, 'cause it allowed you to actually take advantage of cloud native, but was there an obvious one that is it sort of dogma that you philosophically live behind to this day? >> I think one really obvious thing is the sort of no tuning, no knobs, ease of use story behind Snowflake. And I say it's really obvious because everybody wants their system to be easy to use. But then I would say there were tons of decisions behind that, that it's not always obvious the implications of such a choice, right? And really sticking to that. And I think that that's really like a core principle behind Snowflake that led to a lot of non-obvious decisions as a result of sticking to that principle. >> To wrap to that now you've gotten us thinking, I think another really interesting one was really, should we start from scratch or should we use something that already exists and build on top of that. And I think that was one of these almost philosophical kind of stances that we took, that a lot of the systems that were out there were the way they were because they weren't built for the platforms that they were running on. And the big thing that we were targeting was the cloud. And so one of the big stances we took was that we were going to build it from scratch and we weren't going to borrow a single line of code from any other database out there. And this was something that really shocked a lot of people and many times that this was pretty crazy. And it was, but this is how you build great products. >> That's awesome, all right, Ashish give your last word, we got like just 30 seconds left take, bring us home. >> Till date actually one of those that shocks people when you talk to them and they say, wow, you're not really using any other database? And you build this entirely yourself? The number of people who actually can build a database from scratch are fairly limited. The group is fairly small. And so it was really a humongous task. And as you've mentioned, it really changed the direction of how we designed the database. What does the database really mean to us, right? The way Snowflake has built a database, it's really a number of organs that come together and form the body. And that's also a concept that's novel to the database industry. >> Guys congratulations, you must be so proud and it's going to be awesome watching the next decade. So thank you so much for sharing your stories. >> Thanks Dave. >> Thank you- >> Thank you.

our Studios in the heart of Silicon Valley Palo Alto California this is a cute conversation hey welcome back they're ready Jeff Rick here with the cube we're in our Palo Alto studios today to have a conversation with a really exciting company they've actually been around for a while but they've raised a ton of money and they're doing some really important work in the world in which we live today which is a lot different than the world was when they started in 2010 so we're excited to welcome to the studio he's been here on before Mohit ladee is the CEO and co-founder of Thousand Eyes mode great to see you great to see you as well as pretty to be here yeah welcome back but for people that didn't see the last video or not that familiar with Thousand Eyes tell them a little bit kind of would a thousand eyes all about absolutely so in today's world the cloud is your new data center the Internet is your new network and SAS is your new application stack and thousand eyes is built to be the the only thing that can really help you see across all three of these like it's your own private environment I love that I love that kind of setup and framing because those are the big three things and as you said all those things have moved from inside your control to outside of your control so in 2010 is that was that division I mean when you guys started the company UCLA I guess a while ago now what was that the trend what did you see what yes what kind of started it so it's really interesting right so our background as a founding company with two founders we did our PhD at UCLA in computer science and focused on internet and we were fascinated by the internet because it was just this complex system that nobody understood but we knew even then that it would meaningfully change our lives not just as consumers but even as enterprise companies so we had this belief that it's going to be the backbone of the modern enterprise and nobody quite understood how it worked because everyone was focused on your own data center your own network and so our entire vision at that point was we want people to feel the power of seeing the internet like your network that's sort of where we started and then as we started to expand on that vision it was clear to us that the Internet is what brings companies together what brings the cloud closer to the enterprise what brings the SAS applications closer to the enterprise right so we expanded into into cloud and SAS as well so when you had that vision you know people had remote offices and they would set up they would you know set up tunnels and peer-to-peer and all kinds of stuff why did you think that it was gonna go to that next step in terms of the internet you know just kind of the public Internet being that core infrastructure yes we were at the at the very early stages of this journey to cloud right and at the same time you had companies like Salesforce you had office 365 they were starting to just make it so much easier for companies to deploy a CRM you don't have to stand up these massive servers anymore its cloud-based so it was clear to us that that was gonna be the new stack and we knew that you had to build a fundamentally different technology to be able to operate in that stack and it's not just about visibility it's about making use of collective information as well because you're going from a private environment with your own data center your own private network your own application stack to something that's sitting in the cloud which is a shared environment going over the Internet which is the same network that carries cat videos that your kids watch it's carrying production traffic now for your core applications and so you need a different technology stack and you need to really sort of benefit from this notion of collective intelligence of knowing what everybody sees together as one view so I'm here I think I think Salesforce was such an important company in terms of getting enterprises to trust a SAS application for really core function which just sales right I think that was a significant moment in moving the dial was there a killer app for you guys that was you know for your customers the one where they finally said wait you know we need a different level of his ability to something that we rely on that's coming to us through an outside service so it's interesting right when we started the company we had a lot of advisors that said hey your position should be you're gonna help enterprises enforce SLA with Salesforce and we actually took a different position because what we realized was Salesforce did all the right stuff on their data centers but the internet could mess things up or enterprise companies that were not ready to move to cloud didn't have the right architectures would have some bottlenecks in their own environment because they are backhauling traffic from their London office to New York and then exiting from New York they're going back to London so all this stuff right so we took the position of really presenting thousand eyes as a way to get transparency into this ecosystem and we we believe that if we take this position if we want to help both sides not just the enterprise companies we want to help sales force we want to have enterprise companies and just really present it as a means of finding a common truth of what is actually going on it works so much better right so there wasn't really sort of one killer application but we found that anything that was real-time so if you think about video based applications or any sort of real-time communications based so the web access of the world they were just very sensitive to network conditions and internet conditions same with things that are moving a lot of data back and forth so these applications like Salesforce office 365 WebEx they just are demanding applications on the infrastructure and even if they're done great if the infrastructure doesn't it doesn't give you a great experience right and and and you guys made a really interesting insight too it's an it's an all your literature it's it's a really a core piece of what you're about and you know when you owned it you could diagnose it and hopefully you could fix it or call somebody else to fix it but when you don't own it it's a very different game and as you guys talked about it's really about finding the evidence or everyone's not pointing fingers back in and forth a to validate where the actual problem is and then to also help those people fix the problem that you don't have direct control of so it's a very different you know kind of requirement to get things fixed when they have to get fixed yeah and the first aspect of that is visibility so as an example right you generally don't have a problem going from one part of your house to another part of your house because you own the whole place you know exactly what sits between the two rooms that you're trying to get to you don't you don't have run into surprises but when you're going from let's say Palo Alto to San Francisco and you have two options you can take the 101 or 280 you need to know what you expect to see before you get on one of those options right and so the Internet is very similar you have these environments that you have no idea what to expect and if you don't see that with the right level of granularity that you would in your own environments you would make decisions that you have you know you have no control over right the visibility is really important but it's giving that lens like making it feel like a google maps of the internet that gives you the power to look at these environments like it's your private network that's the hard part right and then so what you guys have done as I understand is you've deployed sensors basically all over the Internet all at an important pops yeah an important public clouds and important enterprises etc so that you now have a view of what's going on it I can have that view inside my enterprise by leveraging your infrastructure is that accurate correct and so this is where the notion of being able to set up this sort of data collection environment is really difficult and so we have created all of this over years so enterprise companies consumer companies they can leverage this infrastructure to get instant results so there's zero implementation what right but the key to that is also understanding the internet itself and so this is where a research background comes in play because we studied we did years of research on actually modeling the internet so we know what strategic locations to put these probes that to give good coverage we know how to fill the gaps and so it's not just a numbers game it's how you deploy them where you deploy them and knowing that connectivity we've created this massive infrastructure now that can give you eyes on the internet and we leverage all of their data together so if let's say hypothetically you know AT&T has an issue that same issue is impacting multiple customers through all our different measurements so it's like ways if you're using ways to get from point A to point B if Waze was just used by your family members and nobody else it would give you completely useless information values in that collective insight right and then now you also will start to be able to until every jamel and AI and you know having all that data and apply just more machine learning to it to even better get out in front of problems I imagine as much as as is to be able to identify it so that's a really interesting point right so the first thing we have to tackle is making a complex data set really accessible and so we have a lot of focus into essentially getting insights out of it using techniques that are smarter than the brute-force techniques to get insights out and then present it in manners that it's accessible and digestible and then as we look into the next stages we're going to bring more and more things like learning and so on to take it even further right it's funny the accessible and digestible piece I've just had a presentation the other day and there was a woman from a CSO at a big bank and she talked about you know the problem of false positives and in in early days I mean their biggest issues was just too much data coming in from too many sensors and and too many false positives to basically bury people so I didn't have time to actually service the things that are a priority so you know a nice presentation of a whole lot of data that's a big difference to make it actual it is absolutely true and now that the example I'll give you is oftentimes when you think about companies that operate with a strong network core like we do they are in the weeds right which is important but what is really important is tying that intelligence to business impact and so the entire product portfolio we've built it's all about business impact user experience and then going into connecting the dots or the network side so we've seen some really interesting events and as much as we know the internet every day I wake up and I see something that surprises me right we've had customers that have done migrations to cloud that have gone horribly wrong right so we the latest when I was troubleshooting with the customer was where we saw they migrated from there on from data center to Amazon and the user experience was 10x worse than what it was on their own data the app once they moved to Amazon okay and what had happened there was the whole migration to Amazon included the smart sort of CDN where they were fronting your traffic at local sites but the traffic was going all over the place so from if a user was in London instead of going to the London instance of Amazon they were going to Atlanta they were going to Los Angeles and so the whole migration created a worse user experience and you don't have that lens because you don't see that in a net portion of that right that's what we like we caught it instantly and we were able to showcase that hey this is actually a really bad migration and it's not that Amazon is bad it's just it's been implemented incorrectly right so ya fix these things and those are all configurations all Connecticut which is so very easy all the issues you hear about with with Amazon often go back to miss configuration miss settings suboptimal leaving something open so to have that visibility makes a huge impact and it's more challenging because you're trying to configure different components of this environment right so you have a cloud component you have the internet component your own network you have your own firewalls and you used to have this closed environment now it's hybrid it involves multiple parties multiple skill sets so a lot of things can really go wrong yeah I think I think you guys you guys crystallize very cleanly is kind of the inside out and outside in approach both you know a as as a service consumer yep right I'm using Salesforce I'm using maybe s3 I'm using these things that I need and I want to focus on that and I want to have a good experience I want my people to be able to get on their Salesforce account and book business but but don't forget the other way right because as people are experiencing my service that might be connecting through and aggregating many other services along the way you know I got to make sure my customer experience is big and you guys kind of separate those two things out and really make sure people are focusing on both of them correct and it's the same technology but you can use that for your production services which are revenue generating or you can use that for your employee productivity the the visibility that you provide is is across a common stack but on the production side for example because of the way the internet works right your job is not just to ensure a great performance in user experience your job is also to make sure that people are actually reaching your site and so we've seen several instances where because of the way internet works somebody else could announce that their google.com and they could suck a bunch of traffic from the Internet and this happens quite routinely in the notion of what is now known as DP hijacks or sometimes DNS hijacks and the the one that I remember very well is when there was the small ISP in Nigeria that announced the identity of the address block for Google and that was picked up by China Telecom which was picked up by a Russian telco and now you have Russia China and Nigeria in the path for traffic to Google which is actually not even going to Google's right those kinds of things are very possible because of the way the internet how fast those things kind of rise up and then get identified and then get shut off is this hours days weeks in this kind of example so it really depends because if you are let's say you were Google in this situation right you're not seeing a denial of service attack T or data centers in fact you're just not seeing traffic running it because somebody else is taking it away right it's like identity theft right like I somebody takes your identity you wouldn't get a mail in your inbox saying hey your identity has been taken back so I see you have to find it some other way and usually it's the signal by the time you realize that your identity has been stolen you have a nightmare ahead of you all right so you've got some specific news a great great conversation you know it's super insightful to talk people that are in the weeds of how all the stuff works but today you have a new a new announcement some new and new offering so tell us about what's going on so we have a couple of announcements today and coming back to this notion of the cloud being a new data center the internet your new network right two things were announcing today is one we're announcing our second version of the cloud then benchmark performance comparison and what this is about is really helping people understand the nuances the performance difference is the architecture differences between Amazon Google ad your IBM cloud and Alibaba cloud so as you make decisions you actually understand what is the right solution for me from a performance architecture standpoint so that's one it's a fascinating report we found some really interesting findings that surprised us as well and so we're releasing that we're also touching on the internet component by releasing a new product which we call as Internet insights and that is giving you the power to actually look at the internet more holistically like you own the entire internet so that is really something we're all excited about because it's the first time that somebody can actually see the Internet see all these connections see what is going on between major service providers and feel like you completely owned the environment so are people using information like that to dynamically you know kind of reroute the way that they handle their traffic or is it more just kind of a general health you know kind of health overview you know how much of it do I have control over how much should I have control over and how much of I just need to know what's going on so yeah so in just me great question so the the best way I can answer that is what I heard CIO say in a CIO forum we were presenting it where they were a customer it's a large financial services customer and somebody asked the CIO what was the value of thousand I wasn't the way he explained it which was really fascinating was phase one of thousand eyes when we started using it was getting rid of technical debt because we would keep identifying issues which we could fix but we could fix the underlying root cause so it doesn't happen again and that just cleared the technical debt that we had made our environment much better and then we started to optimize the environments to just get better get more proactive so that's a good way to think about it when you think about our customers most of the times they're trying to just not have their hair on fire right that's the first step right once we can help them with that then they go on to tuning optimising and so on but knowing what is going on is really important for example if you're providing a.com service like cube the cube comm right it's its life and you're providing it from your data center here you have two up streams like AT&T and Verizon and Verizon is having issues you can turn off that connection and read all your customers back live having a full experience if you know that's the issues right right the remediation is actually quite quite a few times it's very straight forward if you know what you are trying to solve right so do you think on the internet insights this is going to be used just more for better remediation or do you think it's it's kind of a step forward and getting a little bit more proactive and a little bit more prescriptive and getting out ahead of the issues or or can you because these things are kind of ephemeral and come and go so I think it's all of the about right so one the things that the internet insights will help you is with planning because as you expand into new geo so if you're a company that's launching a service in a new market right that immediately gives you a landscape of who do you connect with where do you host right now you can actually visualize the entire network how do you reach your customer base the best right so that's the planning aspect and if you plan right you would actually reduce a lot of the trouble that you see so we had this customer of ours that was deploying Estevan software-defined man in there a she offices and they used thousand eyes to evaluate two different ISPs that they were looking at one of them had this massive time-of-day congestion so every time every day at nine o'clock the latency would get doubled because of congestion it's common in Asia the other did not have time of day congestion and with that view they could implement the entire Estevan on the ice pea that actually worked well for them so planning is important part of this and then the other aspect of this is the thing that folks often don't realize is internet is not static it's constantly changing so you know AT&T may connect to where I is in this way it connects it differently it connects to somebody else and so having that live map as you're troubleshooting customer experience issues so let's say you have customers from China that are having a ton of issues all of a sudden or you see a drop of traffic from China now you can relate that information of where these customers are coming from with our view of the health of the Chinese internet and which specific ISPs are having issues so that's the kind of information merger that simply doesn't happen today right promote is a fascinating discussion and we could go on and on and on but unfortunately do not have all day but I really like what you guys are doing the other thing I just want to close on which which I thought was really interesting is you know a lot of talked about digital transformation we always talk about digital transformation everybody wants a digital transfer eyes it but you really boiled it down into really three create three critical places that you guys play the digital experience in terms of what what the customers experience you know getting to cloud everybody wants to get to cloud so one can argue how much and what percentage but everybody's going to cloud and then as you said in this last example the modern when as you connect all these remote sites and you guys have a play in all of those places so whatever you thought about in 2010 that worked out pretty well thank you and we had a really strong vision but kudos to the team that we have in place that has stretched it and really made the most out of that so excited good job and thanks for for stopping by sharing the story thank you for hosting always fun to be here absolutely all right well he's mo and I'm Jeff you're watching the cube when our Palo Alto studio is having a cube conversation thanks for watching we'll see you next time [Music]

>> Announcer: From theCUBE Studios in Palo Alto and Boston, connecting with thought leaders all around the world, this is a Cube Conversation. >> Hey welcome back everybody, Jeff Frick here with theCUBE. We're in our Palo Alto Studios today, having a Cube Conversation, you know, with the COVID situation going on we've had to change our business and go pretty much 100% digital. And as part of that process, we wanted to reach out to our community, and talk to some of the leaders out there, because I think leadership in troubling times is even more amplified in it's importance. So we're excited to be joined today by two leaders in our community. First one being John Chambers, a very familiar face from many, many years at Cisco, who's now the founder and CEO of JC2 Ventures. John, great to see you. >> Jeff, it's a pleasure to be with you again. >> Absolutely. And joining him is Umesh Sachdev, he's the co-founder and CEO of Uniphore. First time on theCUBE, Umesh, great to meet you. >> Jeff, thank you for having me, it's great to be with you. >> You as well, and I had one of your great people on the other day, talking about CX, and I think CX is the whole solution. Why did Uber beat cabs, do you want to stand on a corner and raise your hand in the rain? Or do you want to know when the guy's going to come pick you up, in just a couple minutes? So anyway, welcome. So let's jump into it. John, one of your things, that you talked about last time we talked, I think it was in October, wow how the world has changed. >> Yes. >> Is about having a playbook, and really, you know, kind of thinking about what you want to do before it's time to actually do it, and having some type of a script, and some type of direction, and some type of structure, as to how you respond to situations. Well there's nothing like a disaster to really fire off, you know, the need to shift gears, and go to kind of into a playbook mode. So I wonder if you could share with the viewers, kind of what is your playbook, you've been through a couple of these bumps. Not necessarily like COVID-19, but you've seen a couple bumps over your career. >> So it's my pleasure Jeff. What I'll do is kind of outline how I believe you use an innovation playbook on everything from acquisitions, to digitizing a company, to dealing with crisis. Let's focus on the playbook for crisis. You are right, and I'm not talking about my age, (John laughing) but this is my sixth financial crisis, and been through the late 1990s with the Asian financial crisis, came out of it even stronger at Cisco. Like everybody else we got knocked down in the 2001 tech bubble, came back from it even stronger. Then in 2008, 2009, Great Recession. We came through that one very, very strong, and we saw that one coming. It's my fourth major health crisis. Some of them turned out to be pretty small. I was in Mexico when the bird pandemic hit, with the President of Mexico, when we thought it was going to be terrible. We literally had to cancel the meetings that evening. That's why Cisco built the PLAR Presence. I was in Brazil for the issue with the Zika virus, that never really developed much, and the Olympics went on there, and I only saw one mosquito during the event. It bit me. But what I'm sharing with you is I've seen this movie again and again. And then, with supply chain, which not many people were talking about yet, supply chain crisis, like we saw in Japan with the Tsunami. What's happening this time is you're seeing all three at one time, and they're occurring even faster. So the playbook is pretty simple in crisis management, and then it would be fun to put Umesh on the spot and say how closely did you follow it? Did you agree with issues, or did you disagree, et cetera, on it. Now I won't mention, Umesh, that you've got a review coming up shortly from your board, so that should not affect your answer at all. But the first playbook is being realistic, how much was self-inflicted, how much was market. This one's largely market, but if you had problems before, you got to address them at the same time. The second thing is what are the five to seven things that are material, what you're going to do to lead through this crisis. That's everything from expense management, to cash preservation. It's about how do you interface to your employees, and how do you build on culture. It's about how do you interface to your customers as they change from their top priority being growth and innovation, to a top priority being cost savings, and the ability to really keep their current revenue streams from churning and moving. And it's about literally, how do make your big bets for what you want to look like as you move out of this market. Then it's how do you communicate that to your employees, to your shareholders, to your customers, to your partners. Painting the picture of what you look like as you come out. As basic as that sounds, that's what crisis management is all about. Don't hide, be visible, CEOs should take the role on implementing that playbook. Umesh to you, do you agree? And have fun with it a little bit, I like the give and take. >> I want to see the playbook, do you have it there, just below the camera? (Jeff laughing) >> I have it right here by my side. I will tell you, Jeff, in crisis times and difficult times like these, you count all the things that go right for you, you count your blessings. And one of the blessings that I have, as a CEO, is to have John Chambers as my mentor, by my side, sharing not just the learning that he had through the crisis, but talking through this, with me on a regular basis. I've read John's book more than a few times, I bet more than anybody in the world, I've read it over and over. And that, to me, is preparation going into this mode. One of the things that John has always taught me is when times get difficult, you get calmer than usual. It's one thing that when you're cruising on the freeway and you're asked to put the brakes, but it's quite another when you're in rocket ship, and accelerating, which is what my company situation was in the month of January. We were coming out of a year of 300% growth, we were driving towards another 300% growth, hiring tremendously, at a high pace. Winning customers at a high pace, and then this hit us. And so what I had to do, from a playbook perspective, is, you know, take a deep breath, and just for a couple of days, just slow down, and calmly look at the situation. My first few steps were, I reached out to 15 of our top customers, the CEOs, and give them calls, and said let's just talk about what you're seeing, and what we are observing in our business. We get a sense of where they are in their businesses. We had the benefit, my co-founder works out of Singapore, and runs our Asia business. We had the benefit of picking up the sign probably a month before everyone else did it in the U.S. I was with John in Australia, and I was telling John that "John, something unusual is happening, "a couple of our customers in these countries in Asia "are starting to tell us they would do the deal "a quarter later." And it's one thing when one of them says it, it's another when six of them say it together. And John obviously has seen this movie, he could connect the dots early. He told me to prepare, he told the rest of the portfolio companies that are in his investment group to start preparing. We then went to the playbook that John spoke of, being visible. For me, culture and communication take front seat. We have employees in ten different countries, we have offices, and very quickly, even before the governments mandated, we had all of them work, you know, go work from home, and be remote, because employee safety and health was the number one priority. We did our first virtual all-hands meeting on Zoom. We had about 240 people join in from around the world. And my job as CEO, usually our all-hands meeting were different functional leaders, different people in the group talk to the team about their initiatives. This all-hands was almost entirely run by me, addressing the whole company about what's going to be the situation from my lens, what have we learned. Be very factual. At the same time, communicating to the team that because of the fact that we raised our funding the last year, it was a good amount of money, we still have a lot of that in the bank, so we going to be very secure. At the same time, our customers are probably going to need us more than ever. Call centers are in more demand than ever, people can't walk up to a bank branch, they can't go up to a hospital without taking an appointment. So the first thing everyone is doing is trying to reach call centers. There aren't enough people, and anyways the work force that call centers have around the world, are 50% working from home, so the capacity has dropped. So our responsibility almost, is to step up, and have our AI and automation products available to as many call centers as we can. So as we are planning our own business continuity, and making sure every single employee is safe, the message to my team was we also have to be aggressive and making sure we are more out there, and more available, to our customers, that would also mean business growth for us. But first, and foremost is for us to be responsible citizens, and just make it available where it's needed. As we did that, I quickly went back to my leadership team, and again, the learning from John is usually it's more of a consensus driven approach, we go around the table, talk about a topic for a couple of hours, get the consensus, and move out of the room. My leadership meetings, they have become more frequent, we get together once a week, on video call with my executive leaders, and it's largely these days run by me. I broke down the team into five different war rooms, with different objectives. One of them we called it the preservation, we said one leader, supported by others will take the responsibility of making sure every single employee, their families, and our current customers, are addressed, taken care of. So we made somebody lead that group. Another group was made responsible for growth. Business needs to, you know, in a company that's growing at 300%, and we still have the opportunity, because call centers need us more than ever, we wanted to make sure we are responding to growth, and not just hunkering down, and, you know, ignoring the opportunity. So we had a second war room take care of the growth. And a third war room, lead by the head of finance, to look at all the financial scenarios, do the stress tests, and see if we are going to be ready for any eventuality that's going to come. Because, you know, we have a huge amount of people, who work at Uniphore around the world, and we wanted to make sure their well being is taken care of. So from being over communicative, to the team and customers, and being out there personally, to making sure we break down the teams. We have tremendous talent, and we let different people, set of people, run different set of priorities, and report back to me more frequently. And now, as we have settled into this rhythm, Jeff, you know, as we've been in, at least in the Bay area here, we've been shelter in place for about a month now. As we are in the rhythm, we are beginning to do virtual happy hours, every Thursday evening. Right after this call, I get together with my team with a glass of wine, and we get together, we talk every but work, and every employee, it's not divided by functions, or leadership, and we are getting the rhythm back into the organization. So we've gone and adjusted in the crisis, I would say very well. And the business is just humming along, as we had anticipated, going into this crisis. But I would say, if I didn't have John by my side, if I hadn't read his book, the number of times that I have, every plane ride we've done together, every place we've gone together, John has spoken about war stories. About the 2001, about 2008, and until you face the first one of your own, just like I did right now, you don't appreciate when John says leadership is lonely. But having him by our side makes it easier. >> Well I'm sure he's told you the Jack Welch story, right? That you've quoted before, John, where Jack told you that you're not really a good leader, yet, until you've been tested, right. So you go through some tough stuff, it's not that hard to lead on an upward to the right curve, it's when things get a little challenging that the real leadership shines through. >> Completely agree, and Jack said it the best, we were on our way to becoming the most valuable company in the world, he looked me in the eye and said "John, you have a very good company." And I knew he was about to give me a teaching moment, and I said "What does it take to have a great one?" He said a near death experience. And I thought I did that in '97, and some of the other management, and he said, "No, it's when you went through something "like we went through in 2001, "which many of our peers did die in." And we were knocked down really hard. When we came back from it, you get better. But what you see in Umesh is a very humble, young CEO. I have to remember he's only 34 years old, because his maturity is like he's 50, and he's seen it before. As you tell, he's like a sponge on learning, and he doesn't mind challenging. And what what he didn't say, in his humbleness, is they had the best month in March ever. And again, well over 300% versus the same quarter a year ago. So it shows you, if you're in the right spot, i.e. artificial intelligence, i.e. cost savings, i.e. customer relationship with their customers, how you can grow even during the tough times, and perhaps set a bold vision, based upon facts and a execution plan that very few companies will be able to deliver on today. So off to a great start, and you can see why I'm so honored and proud to be his strategic partner, and his coach. >> Well it's interesting, right, the human toll of this crisis is horrible, and there's a lot of people getting sick, and a lot of people are dying, and all the estimations are a lot more are going to die this month, as hopefully we get over the hump of some of these curves. So that aside, you know, we're here talking kind of more about the, kind of, the business of this thing. And it's really interesting kind of what a catalyst COVID has become, in terms of digital transformation. You know, we've been talking about new ways to work for years, and years, and years, and digital transformation, and all these kind of things. You mentioned the Cisco telepresence was out years, and decades ago. I mean I worked in Mitsubishi, we had a phone camera in 1986, I looked it up today, it was ridiculous, didn't work. But now, it's here, right. Now working from home is here. Umesh mentioned, you know, these huge call centers, now everybody's got to go home. Do they have infrastructure to go home? Do they have a place to work at home? Do they have support to go home? Teachers are now being forced, from K-12, and I know it's a hot topic for you, John, to teach from home. Teach on Zoom, with no time to prep, no time to really think it through. It's just like the kids aren't coming back, we got to learn it. You know I think this is such a transformational moment, and to your point, if this goes on for weeks, and weeks, and months, and months, which I think we all are in agreement that it will. I think you said, John, you know, many, many quarters. As people get new habits, and get into this new flow, I don't think they're going to go back back to the old ways. So I think it's a real, you know, kind of forcing function for digital transformation. And it's, you can't, you can't sit on the sidelines, cause your people can't come to the office anymore. >> So you've raised a number of questions, and I'll let Umesh handle the tough part of it. I will answer the easy part, which is I think this is the new normal. And I think it's here now, and the question is are you ready for it. And as you think about what we're really saying is the video sessions will become such an integral part of our daily lives, that we will not go back to having to do 90% of our work physically. Today alone I've done seven major group meetings, on Zoom, and Google Hangouts, and Cisco Webex. I've done six meetings with individuals, or the key CEOs of my portfolio. So that part is here to stay. Now what's going to be fascinating is does that also lead into digitization of our company, or do the companies make the mistake of saying I'm going to use this piece, because it's so obvious, and I get it, in terms of effectiveness, but I'm not going to change the other things in my normal work, in my normal business. This is why, unfortunately, I think you will see, we originally said, Jeff, you remember, 40% maybe as high as 45% of the Fortune 500 wouldn't exist in a decade. And perhaps 70% of the start-ups wouldn't exist in a decade, that are venture capital backed. I now think, unfortunately, you're going to see 20-35% of the start-ups not exist in 2 years, and I think it's going to shock you with the number of Fortune 500 companies that do not make this transition. So where you're leading this, that I completely agree with, is the ability to take this terrible event, with all of the issues, and again thank our healthcare workers for what they've been able to do to help so many people, and deal with the world the way it is. As my parents who are doctors taught me to do, not the way we wish it was. And then get your facts, prepare for the changes, and get ready for the future. The key would be how many companies do this. On the area Umesh has responsibility for, customer experience, I think you're going to see almost all companies focus on that. So it can be an example of perhaps how large companies learn to use the new technology, not just video capability, but AI, assistance for the agents, and then once they get the feel for it, just like we got the feel for these meetings, change their rhythm entirely. It was a dinner in New York, virtually, when we stopped, six weeks ago, traveling, that was supposed to be a bunch of board meetings, customer meetings, that was easy. But we were supposed to have a dinner with Shake Shack's CEO, and we were supposed to have him come out and show how he does cool innovation. We had a bunch of enterprise companies, and a bunch of media, and subject matter expertise, we ended up canceling it, and then we said why not do it virtually? And to your point, we did it in 24 different locations. Half the people, remember six weeks ago, had never even used Zoom. We had milk shakes, and hamburgers, and french fries delivered to their home. And it was one of the best two hour meetings I've seen. The future is this now. It's going to change dramatically, and Umesh, I think, is going to be at the front edge of how enterprise companies understand how their relationship with their customers is going to completely transform, using AI, conversational AI capability, speech recognition, et cetera. >> Yeah, I mean, Umesh, we haven't even really got into Uniphore, or what you guys are all about. But, you know, you're supporting call centers, you're using natural language technology, both on the inbound and all that, give us the overview, but you're playing on so many kind of innovation spaces, you know, the main interaction now with customers, and a brand, is either through the mobile phone, or through a call center, right. And that's becoming more, and increasingly, digitized. The ability to have a voice interaction, with a machine. Fascinating, and really, I think, revolutionary, and kind of taking, you know, getting us away from these stupid qwerty keyboards, which are supposed to slow us down on purpose. It's still the funniest thing ever, that we're still using these qwerty keyboards. So I wonder if you can share with us a little bit about, you know, kind of your vision of natural language, and how that changes the interaction with people, and machines. I think your TED Talk was really powerful, and I couldn't help but think of, you know, kind of mobile versus land lines, in terms of transformation. Transforming telecommunications in rural, and hard to serve areas, and then actually then adding the AI piece, to not only make it better for the front end person, but actually make it for the person servicing the account. >> Absolutely Jeff, so Uniphore, the company that I founded in 2008. We were talking about it's such a coincidence that I founded the company in 2008, the year of the Great Recession, and here we are again, talking in midst of the impact that we all have because of COVID. Uniphore does artificial intelligence and automation products, for the customer service industry. Call centers, as we know it, have fundamentally, for the last 20, 30 years, not have had a major technology disruption. We've seen a couple of ways of business model disruption, where call centers, you know, started to become offshore, in locations in Asia, India, and Mexico. Where our calls started to get routed around the world internationally, but fundamentally, the core technology in call centers, up until very recently, hadn't seen a major shift. With artificial intelligence, with natural language processings, speech recognition, available in over 100 languages. And, you know, in the last year or so, automation, and RPA, sort of adding to that mix, there's a whole new opportunity to re-think what customer service will mean to us, more in the future. As I think about the next five to seven years, with 5G happening, with 15 billion connected devices, you know, my five year old daughter, she the first thing she does when she enters the house from a playground, she goes to talk to her friend called Alexa. She speaks to Alexa. So, you know, these next generation of users, and technology users will grow up with AI, and voice, and NLP, all around us. And so their expectation of customer service and customer experience is going to be quantum times higher than some of us have, from our brands. I mean, today when a microwave or a TV doesn't work in our homes, our instinct could be to either go to the website of the brand, and try to do a chat with the agent, or do an 800 number phone call, and get them to visit the house to fix the TV. With, like I said with 5G, with TV, and microwave, and refrigerator becoming intelligent devices, you know, I could totally see my daughter telling the microwave "Why aren't you working?" And, you know, that question might still get routed to a remote contact center. Now the whole concept of contact center, the word has center in it, which means, in the past, we used to have these physical, massive locations, where people used to come in and put on their headsets to receive calls. Like John said, more than ever, we will see these centers become dispersed, and virtual. The channels with which these queries will come in would no more be just a phone, it would be the microwave, the car, the fridge. And the receivers of these calls would be anywhere in the world, sitting in their home, or sitting on a holiday in the Himalayas, and answering these situations to us. You know, I was reading, just for everyone to realize how drastic this shift has been, for the customer service industry. There are over 14 million workers, who work in contact centers around the world. Like I said, the word center means something here. All of them, right now, are working remote. This industry was never designed to work remote. Enterprises who fundamentally didn't plan for this. To your point Jeff, who thought digitization or automation, was a project they could have picked next year, or they were sitting on the fence, will now know more have a choice to make this adjustment. There's a report by a top analyst firm that said by 2023, up to 30% of customer service representatives would be remote. Well guess what, we just way blew past that number right away. And most of the CEOs that I talked to recently tell me that now that this shift has happened, about 40% of their workers will probably never return back to the office. They will always remain a permanent virtual workforce. Now when the workforce is remote, you need all the tools and technology, and AI, that A, if on any given day, 7-10% of your workforce calls in sick, you need bots, like the Amazon's Alexa, taking over a full conversation. Uniphore has a product called Akira, which does that in call centers. Most often, when these call center workers are talking, we have the experience of being put on hold, because call center workers have to type in something on their keyboard, and take notes. Well guess what, today AI and automation can assist them in doing that, making the call shorter, allowing the call center workers to take a lot more calls in the same time frame. And I don't know your experience, but, you know, a couple of weekends ago, the modem in my house wasn't working. I had a seven hour wait time to my service provider. Seven hour. I started calling at 8:30, it was somewhere around 3-4:00, finally, after call backs, wait, call back, wait, that it finally got resolved. It was just a small thing, I just couldn't get to the representative. So the enterprises are truly struggling, technology can help. They weren't designed to go remote, think about it, some of the unique challenges that I've heard now, from my customers, is that how do I know that my call center representative, who I've trained over years to be so nice, and empathetic, when they take a pee break, or a bio break, they don't get their 10 year old son to attend a call. How do I know that? Because now I can no more physically check in on them. How do I know that if I'm a bank, there's compliance? There's nothing being said that isn't being, is, you know, supposed to be said, because in a center, in an office, a supervisor can listen in. When everyone's remote, you can't do that. So AI, automation, monitoring, supporting, aiding human beings to take calls much better, and drive automation, as well as AI take over parts of a complete call, by the way of being a bot like Alexa, are sort of the things that Uniphore does, and I just feel that this is a permanent shift that we are seeing. While it's happening because of a terrible reason, the virus, that's affecting human beings, but the shift in business and behavior, is going to be permanent in this industry. >> Yeah, I think so, you know it's funny, I had Marten Mickos on, or excuse me, yeah, Marten Mickos, as part of this series. And I asked him, he's been doing distributed companies since he was doing MySQL, before Sun bought them. And he's, he was funny, it's like actually easier to fake it in an office, than when you're at home, because at home all you have to show is your deliverables. You can't look busy, you can't be going to meetings, you can't be doing things at your computer. All you have to show is your output. He said it's actually much more efficient, and it drives people, you know, to manage to the output, manage to what you want. But I want to shift gears a little bit, before we let you go, and really talk a little bit about the role of government. And John, I know you've been very involved with the Indian government, and the French government, trying to help them, in their kind of entrepreneurial pursuits, and Uniphore, I think, was founded in India, right, before you moved over here. You know we've got this huge stimulus package coming from the U.S. government, to try to help, as people, you know, can't pay their mortgage, a lot of people aren't so fortunate to be in digital businesses. It's two trillion dollars, so as kind of a thought experiment, I'm like well how much is two trillion dollars? And I did the cash balance of the FAANG companies. Facebook, Apple, Amazon, Netflix, and Alphabet, just looking at Yahoo Finance, the latest one that was there. It's 333 billion, compared to two trillion. Even when you add Microsoft's 133 billion on top, it's still shy, it's still shy of 500 billion. You know, and really, the federal government is really the only people in a position to make kind of sweeping, these types of investments. But should we be scared? Should we be worried about, you know, kind of this big shift in control? And should, do you think these companies with these big balance sheets, as you said John, priorities change a little bit. Should it be, keep that money to pay the people, so that they can stay employed and pay their mortgage, and go buy groceries, and maybe get take out from their favorite restaurant, versus, you know, kind of what we've seen in the past, where there's a lot more, you know, stock buy backs, and kind of other uses of these cash. As you said, if it's a crisis, and you got to cut to survive, you got to do that. But clearly some of these other companies are not in that position. >> So you, let me break it into two pieces, Jeff, if I may. The first is for the first time in my lifetime I have seen the federal government and federal agencies move very rapidly. And if you would have told me government could move with the speed we've seen over the last three months, I would have said probably not. The fed was ahead of both the initial interest rate cuts, and the fed was ahead in terms of the slowing down, i.e. your 2 trillion discussion, by central banks here, and around the world. But right behind it was the Treasury, which put on 4 trillion on top of that. And only governments can move in this way, but the coordination with government and businesses, and the citizens, has been remarkable. And the citizens being willing to shelter in place. To your question about India, Prime Minister Modi spent the last five years digitizing his country. And he put in place the most bandwidth of any country in the world, and literally did transformation of the currency to a virtual currency, so that people could get paid online, et cetera, within it. He then looked at start-ups and job creation, and he positioned this when an opportunity or problem came along, to be able to perhaps navigate through it in a way that other countries might struggle. I would argue President Macron in France is doing a remarkable job with his innovation economy, but also saying how do you preserve jobs. So you suddenly see government doing something that no business can do, with the scale, and the speed, and a equal approach. But at the same time, may of these companies, and being very candid, that some people might have associated with tech for good, or with tech for challenges, have been unbelievably generous in giving both from the CEOs pockets perspective, and number two and three founders perspective, as well as a company giving to the CDC, and giving to people to help create jobs. So I actually like this opportunity for tech to regain its image of being good for everybody in the world, and leadership within the world. And I think it's a unique opportunity. For my start-ups, I've been so proud, Jeff. I didn't have to tell them to go do the right thing with their employees, I didn't have to tell them that you got to treat people, human lives first, the economy second, but we can do both in parallel. And you saw companies like Sprinklr suddenly say how can I help the World Health Organization anticipate through social media, where the next spread of the virus is going to be? A company, like Bloom Energy, with what KR did there, rebuilding all of the ventilators that were broken here in California, of which about 40% were, out of the stock that they got, because it had been in storage for so long, and doing it for all of California in their manufacturing plant, at cost. A company like Aspire Foods, a cricket company down in Texas, who does 3D capabilities, taking part of their production in 3D, and saying how many thousand masks can I generate, per week, using 3D printers. You watch what Umesh has done, and how he literally is changing peoples lives, and making that experience, instead of being a negative from working at home, perhaps to a positive, and increasing the customer loyalty in the process, as opposed to when you got a seven hour wait time on a line. Not only are you probably not going to order anything else from that company, you're probably going to change it. So what is fascinating to me is I believe companies owe an obligation to be successful, to their employees, and to their shareholders, but also to give back to society. And it's one of the things I'm most proud about the portfolio companies that I'm a part of, and why I'm so proud of what Umesh is doing, in both a economically successful environment, but really giving back and making a difference. >> Yeah, I mean, there's again, there's all the doctor stuff, and the medical stuff, which I'm not qualified to really talk about. Thankfully we have good professionals that have the data, and the knowledge, and know what to do, and got out ahead of the social distancing, et cetera, but on the backside, it really looks like a big data problem in so many ways, right. And now we have massive amounts of compute at places like Amazon, and Google, and we have all types of machine learning and AI to figure out, you know, there's kind of resource allocation, whether that be hospital beds, or ventilators, or doctors, or nurses, and trying to figure out how to sort that all out. But then all of the, you know, genome work, and you know, kind of all that big heavy lifting data crunching, you know, CPU consuming work, that hopefully is accelerating the vaccine. Because I don't know how we get all the way out of this until, it just seems like kind of race to the vaccine, or massive testing, so we know that it's not going to spike up. So it seems like there is a real opportunity, it's not necessarily Kaiser building ships, or Ford building planes, but there is a role for tech to play in trying to combat this thing, and bring it under control. Umesh, I wonder if you could just kind of contrast being from India, and now being in the States for a couple years. Anything kind of jump out to you, in terms of the differences in what you're hearing back home, in the way this has been handled? >> You know, it's been very interesting, Jeff, I'm sure everyone is concerned that India, for many reasons, so far hasn't become a big hot spot yet. And, you know, we can hope and pray that that remains to be the case. There are many things that the government back home has done, I think India took lessons from what they saw in Europe, and the U.S, and China. They went into a countrywide lockdown pretty early, you know, pretty much when they were lower than a two hundred positive tested cases, the country went into lockdown. And remember this is a 1.5 billion people all together going into lockdown. What I've seen in the U.S. is that, you know, California thankfully reacted fast. We've all been sheltered in place, there's cabin fever for all of us, but you know, I'm sure at the end of the day, we're going to be thankful for the steps that are taken. Both by the administration at the state level, at the federal level, and the medical doctors, who are doing everything they can. But India, on the other hand, has taken the more aggressive stance, in terms of doing a country lockdown. We just last evening went live at a University in the city of Chennai, where Uniphore was born. The government came out with the request, much like the U.S., where they're government departments were getting a surge of traffic about information about COVID, the hospitals that are serving, what beds are available, where is the testing? We stood up a voice bot with AI, in less than a week, in three languages. Which even before the government started to advertise, we started to get thousands of calls. And this is AI answering these questions for the citizens, in doing so. So it goes back to your point of there's a real opportunity of using all the technology that the world has today, to be put to good use. And at the same time, it's really partnering meaningfully with government, in India, in Singapore, in Vietnam, and here in the U.S., to make sure that happens on, you know, John's coaching and nudging, I became a part of the U.S.-India Strategic Partnership Forum, which is truly a premier trade and commerce body between U.S. and India. And I, today, co-chaired the start-up program with, you know, the top start-ups between U.S. and India, being part of that program. And I think we got, again, tremendously fortunate, and lucky with the timeline. We started working on this start-up program between U.S. and India, and getting the start-ups together, two quarters ago, and as this new regulation with the government support, and the news about the two trillion dollar packages coming out, and the support for small businesses, we could quickly get some of the questions answered for the start-ups. Had we not created this body, which had the ability to poll the Treasury Department, and say here are questions, can start-ups do A, B, and C? What do you have by way of regulation? And I think as a response to one of our letters, on Monday the Treasury put out an FAQ on their website, which makes it super clear for start-ups and small businesses, to figure out whether they qualify or they don't qualify. So I think there's ton that both from a individual company, and the technology that each one of us have, but also as a community, how do we, all of us, meaningfully get together, as a community, and just drive benefit, both for our people, for the economy, and for our countries. Wherever we have the businesses, like I said in the U.S., or in India, or parts of Asia. >> Yeah, it's interesting. So, this is a great conversation, I could talk to you guys all night long, but I probably would hear about it later, so we'll wrap it, but I just want to kind of close on the following thought, which is really, as you've talked about before John, and as Umesh as you're now living, you know, when we go through these disruptions, things do get changed, and as you said a lot of people, and companies don't get through it. On the other hand many companies are birthed from it, right, people that are kind of on the new trend, and are in a good position to take advantage, and it's not that you're laughing over the people that didn't make it, but it does stir up the pot, and it sounds like, Umesh, you're in a really good position to take advantage of this new kind of virtual world, this new digital transformation, that's just now waiting anymore. I love your stat, they were going to move X% out of the call center over some period of time, and then it's basically snap your fingers, everybody out, without much planning. So just give you the final word, you know, kind of advice for people, as they're looking forward, and Umesh, we'll get you on another time, because I want to go deep diving in natural language, I think that's just a fascinating topic in the way that people are going to interact with machines and get rid of the stupid qwerty keyboard. But let me get kind of your last thoughts as we wrap this segment. Umesh we'll let you go first. >> Umesh, you want to go first? >> I'll go first. My last thoughts are first for the entrepreneurs, everyone who's sort of going through this together. I think in difficult times is when real heroes are born. I read a quote that when it's a sunny day, you can't overtake too many cars, but when it's raining you have a real opportunity. And the other one that I read was when fishermen can't go out fishing, because of the high tide, they come back, and mend their nets, and be ready for the time that they can go out. So I think there's no easy way to say, this is a difficult time for the economy, health wise, I hope that, you know, we can contain the damage that's being done through the virus, but some of us have the opportunity to really take our products and technology out there, more than usual. Uniphore, particularly, has a unique opportunity, the contact center industry just cannot keep up with the traffic that it's seeing. Around the world, across US, across Asia, across India, and the need for AI and automation would never be pronounced more than it is today. As much as it's a great business opportunity, it's more of a responsibility, as I see it. There can be scale up as fast as the demand is coming, and really come out of this with a much stronger business model. John has always told me in final words you always paint the picture of what you want to be, a year or two out. And I see Uniphore being a much stronger AI plus automation company, in the customer service space, really transforming the face of call centers, and customer service. Which have been forced to rethink their core business value in the last few weeks. And, you know, every fence sitter who would think that digitalization and automation was an option that they could think of in the future years, would be forced to make those decisions now. And I'm just making sure that my team, and my company, and I, am ready to gear to that great responsibility and opportunity that's ahead of us. >> John, give you the final word. >> Say Jeff, I don't know if you can still hear me, we went blank there, maybe for me to follow up. >> We gotcha. >> Shimon Peres taught me a lot about life, and dealing with life the way it is, not the way you wish it was. So did my parents, but he also taught me it always looks darkest just before the tide switches, and you move on to victory. I think the challenges in front of us are huge, I think our nation knows how to deal with that, I do believe the government has moved largely pretty effectively, to give us the impetus to move, and then if we continue to flatten the curve on the issues with the pandemic, if we get some therapeutic drugs that dramatically reduce the risk of death, for people that get the challenges the worst, and over time a vaccine, I think you look to the future, America will rebound, it will be rebounding around start-ups, new job creation, using technology in every business. So not only is there a light at the tunnel, at the end of the tunnel, I think we will emerge from this a stronger nation, a stronger start-up community. But it depends on how well we work together as a group, and I just want to say to Umesh, it's an honor to be your coach, and I learn from you as much as I give back. Jeff, as always, you do a great job. Thank you for your time today. >> Thank you both, and I look forward to our next catch up. Stay safe, wash your hands, and thanks for spending some time with us. >> And I just want to say I hope and pray that all of us can get together in Palo Alto real quick, and in person, and doing fist bumps, not shake hands or probably a namaste. Thank you, it's an honor. >> Thank you very much. All right, that was John and Umesh, you're watching theCUBE from our Palo Alto Studios, thanks for tuning in, stay safe, wash your hands, keep away from people that you're not that familiar with, and we'll see you next time. Thanks for watching. (calm music)

>> Narrator: Hi, everyone, thanks for joining us today for the Virtual Vertica BDC 2020. Today's breakout session is entitled toward Zero Unplanned Downtime of Medical Imaging Systems using Big Data. My name is Sue LeClaire, Director of Marketing at Vertica, and I'll be your host for this webinar. Joining me is Mauro Barbieri, lead architect of analytics at Philips. Before we begin, I want to encourage you to submit questions or comments during the virtual session. You don't have to wait. Just type your question or comment in the question box below the slides and click Submit. There will be a Q&A session at the end of the presentation. And we'll answer as many questions as we're able to during that time. Any questions that we don't get to we'll do our best to answer them offline. Alternatively, you can also visit the vertical forums to post your question there after the session. Our engineering team is planning to join the forums to keep the conversation going. Also a reminder that you can maximize your screen by clicking the double arrow button in the lower right corner of the slide. And yes, this virtual session is being recorded, and we'll be available to view on demand this week. We'll send you a notification as soon as it's ready. So let's get started. Mauro, over to you. >> Thank you, good day everyone. So medical imaging systems such as MRI scanners, interventional guided therapy machines, CT scanners, the XR system, they need to provide hospitals, optimal clinical performance but also predictable cost of ownership. So clinicians understand the need for maintenance of these devices, but they just want to be non intrusive and scheduled. And whenever there is a problem with the system, the hospital suspects Philips services to resolve it fast and and the first interaction with them. In this presentation you will see how we are using big data to increase the uptime of our medical imaging systems. I'm sure you have heard of the company Phillips. Phillips is a company that was founded in 129 years ago in actually 1891 in Eindhoven in Netherlands, and they started by manufacturing, light bulbs, and other electrical products. The two brothers Gerard and Anton, they took an investment from their father Frederik, and they set up to manufacture and sale light bulbs. And as you may know, a key technology for making light bulbs is, was glass and vacuum. So when you're good at making glass products and vacuum and light bulbs, then there is an easy step to start making radicals like they did but also X ray tubes. So Philips actually entered very early in the market of medical imaging and healthcare technology. And this is what our is our core as a company, and it's also our future. So, healthcare, I mean, we are in a situation now in which everybody recognize the importance of it. And and we see incredible trends in a transition from what we call Volume Based Healthcare to Value Base, where, where the clinical outcomes are driving improvements in the healthcare domain. Where it's not enough to respond to healthcare challenges, but we need to be involved in preventing and maintaining the population wellness and from a situation in which we episodically are in touch with healthcare we need to continuously monitor and continuously take care of populations. And from healthcare facilities and technology available to a few elected and reach countries we want to make health care accessible to everybody throughout the world. And this of course, has poses incredible challenges. And this is why we are transforming the Philips to become a healthcare technology leader. So from Philips has been a concern realizing and active in many sectors in many sectors and realizing what kind of technologies we've been focusing on healthcare. And we have been transitioning from creating and selling products to making solutions to addresses ethical challenges. And from selling boxes, to creating long term relationships with our customers. And so, if you have known the Philips brand from from Shavers from, from televisions to light bulbs, you probably now also recognize the involvement of Philips in the healthcare domain, in diagnostic imaging, in ultrasound, in image guided therapy and systems, in digital pathology, non invasive ventilation, as well as patient monitoring intensive care, telemedicine, but also radiology, cardiology and oncology informatics. Philips has become a powerhouse of healthcare technology. To give you an idea of this, these are the numbers for, from 2019 about almost 20 billion sales, 4% comparable sales growth with respect to the previous year and about 10% of the sales are reinvested in R&D. This is also shown in the number of patents rights, last year we filed more than 1000 patents in, in the healthcare domain. And the company is about 80,000 employees active globally in over 100 countries. So, let me focus now on the type of products that are in the scope of this presentation. This is a Philips Magnetic Resonance Imaging Scanner, also called Ingenia 3.0 Tesla is an incredible machine. Apart from being very beautiful as you can see, it's a it's a very powerful technology. It can make high resolution images of the human body without harmful radiation. And it's a, it's a, it's a complex machine. First of all, it's massive, it weights 4.6 thousand kilograms. And it has superconducting magnets cooled with liquid helium at -269 degrees Celsius. And it's actually full of software millions and millions of lines of code. And it's occupied three rooms. What you see in this picture, the examination room, but there is also a technical room which is full of of of equipment of custom hardware, and machinery that is needed to operate this complex device. This is another system, it's an interventional, guided therapy system where the X ray is used during interventions with the patient on the table. You see on the left, what we call C-arm, a robotic arm that moves and can take images of the patient while it's been operated, it's used for cardiology intervention, neurological intervention, cardiovascular intervention. There's a table that moves in very complex ways and it again it occupies two rooms, this room that we see here and but also a room full of cabinets and hardwood and computers. This is another another characteristic of this machine is that it has to operate it as it is used during medical interventions, and so it has to interact with all kind of other equipment. This is another system it's a, it's a, it's a Computer Tomography Scanner Icon which is a unique, it is unique due to its special detection technology. It has an image resolution up to 0.5 millimeters and making thousand by thousand pixel images. And it is also a complex machine. This is a picture of the inside of a compatible device not really an icon, but it has, again three rotating, which waits two and a half turn. So, it's a combination of X ray tube on top, high voltage generators to power the extra tube and in a ray of detectors to create the images. And this rotates at 220 right per minutes, making 50 frames per second to make 3D reconstruction of the of the body. So a lot of technology, complex technology and this technology is made for this situation. We make it for clinicians, who are busy saving people lives. And of course, they want optimal clinical performance. They want the best technology to treat the patients. But they also want predictable cost of ownership. They want predictable system operations. They want their clinical schedules not interrupted. So, they understand these machines are complex full of technology. And these machines may have, may require maintenance, may require software update, sometimes may even say they require some parts, horrible parts to be replaced, but they don't want to have it unplanned. They don't want to have unplanned downtime. They would hate send, having to send patients home and to have to reschedule visits. So they understand maintenance. They just want to have a schedule predictable and non intrusive. So already a number of years ago, we started a transition from what we call Reactive Maintenance services of these devices to proactive. So, let me show you what we mean with this. Normally, if a system has an issue system on the field, and traditional reactive workflow would be that, this the customer calls a call center, reports the problem. The company servicing the device would dispatch a field service engineer, the field service engineer would go on site, do troubleshooting, literally smell, listen to noise, watch for lights, for, for blinking LEDs or other unusual issues and would troubleshoot the issue, find the root cause and perhaps decide that the spare part needs to be replaced. He would order a spare part. The part would have to be delivered at the site. Either immediately or the engineer would would need to come back another day when the part is available, perform the repair. That means replacing the parts, do all the needed tests and validations. And finally release the system for clinical use. So as you can see, there is a lot of, there are a lot of steps, and also handover of information from one to between different people, between different organizations even. Would it be better to actually keep monitoring the installed base, keep observing the machine and actually based on the information collected, detect or predict even when an issue is is going to happen? And then instead of reacting to a customer calling, proactively approach the customer scheduling, preventive service, and therefore avoid the problem. So this is actually what we call Corrective Service. And this is what we're being transitioning to using Big Data and Big Data is just one ingredient. In fact, there are more things that are needed. The devices themselves need to be designed for reliability and predictability. If the device is a black box does not communicate to the outside world the status, if it does not transmit data, then of course, it is not possible to observe and therefore, predict issues. This of course requires a remote service infrastructure or an IoT infrastructure as it is called nowadays. The passivity to connect the medical device with a data center in enterprise infrastructure, collect the data and perform the remote troubleshooting and the predictions. Also the right processes and the right organization is to be in place, because an organization that is, you know, waiting for the customer to call and then has a number of few service engineers available and a certain amount of spare parts and stock is a different organization from an organization that actually is continuously observing the installed base and is scheduling actions to prevent issues. And in other pillar is knowledge management. So in order to realize predictive models and to have predictive service action, it's important to manage knowledge about failure modes, about maintenance procedures very well to have it standardized and digitalized and available. And last but not least, of course, the predictive models themselves. So we talked about transmitting data from the installed base on the medical device, to an enterprise infrastructure that would analyze the data and generate predictions that's predictive models are exactly the last ingredient that is needed. So this is not something that I'm, you know, I'm telling you for the first time is actually a strategic intent of Philips, where we aim for zero unplanned downtime. And we market it that way. We also is not a secret that we do it by using big data. And, of course, there could be other methods to to achieving the same goal. But we started using big data already now well, quite quite many years ago. And one of the reasons is that our medical devices already are wired to collect lots of data about the functioning. So they collect events, error logs that are sensor connecting sensor data. And to give you an idea, for example, just as an order of magnitudes of size of the data, the one MRI scanner can log more than 1 million events per day, hundreds of thousands of sensor readings and tens of thousands of many other data elements. And so this is truly big data. On the other hand, this data was was actually not designed for predictive maintenance, you have to think a medical device of this type of is, stays in the field for about 10 years. Some a little bit longer, some of it's shorter. So these devices have been designed 10 years ago, and not necessarily during the design, and not all components were designed, were designed with predictive maintenance in mind with IoT, and with the latest technology at that time, you know, progress, will not so forward looking at the time. So the actual the key challenge is taking the data which is already available, which is already logged by the medical devices, integrating it and creating predictive models. And if we dive a little bit more into the research challenges, this is one of the Challenges. How to integrate diverse data sources, especially how to automate the costly process of data provisioning and cleaning? But also, once you have the data, let's say, how to create these models that can predict failures and the degradation of performance of a single medical device? Once you have these models and alerts, another challenge is how to automatically recommend service actions based on the probabilistic information on these possible failures? And once you have the insights even if you can recommend action still recommending an action should be done with the goal of planning, maintenance, for generating value. That means balancing costs and benefits, preventing unplanned downtimes without of course scheduling and unnecessary interventions because every intervention, of course, is a disruption for the clinical schedule. And there are many more applications that can be built off such as the optimal management of spare parts supplies. So how do you approach this problem? Our approach was to collect into one database Vertica. A large amount of historical data, first of all historical data coming from the medical devices, so event logs, parameter value system configuration, sensor readings, all the data that we have at our disposal, that in the same database together with records of failures, maintenance records, service work orders, part replacement contracts, so basically the evidence of failures and once you have data from the medical devices, and data from the failures in the same database, it becomes possible to correlate event logs, errors, signal sensor readings with records of failures and records of part replacement and maintenance operations. And we did that also with a specific approach. So we, we create integrated teams, and every integrated team at three figures, not necessarily three people, they were actually multiple people. But there was at least one business owner from a service organization. And this business owner is the person who knows what is relevant, which use case are relevant to solve for a particular type of product or a particular market. What basically is generating value or is worthwhile tackling as an organization. And we have data scientists, data scientists are the one who actually can manipulate data. They can write the queries, they can write the models and robust statistics. They can create visualization and they are the ones who really manipulate the data. Last but not least, very important is subject matter experts. Subject Matter Experts are the people who know the failure modes, who know about the functioning of the medical devices, perhaps they're even designed, they come from the design side, or they come from the service innovation side or even from the field. People who have been servicing the machines in real life for many, many years. So, they are familiar with the failure models, but also familiar with the type of data that is logged and the processes and how actually the systems behave, if you if you if you if you allow me in, in the wild in the in the field. So the combination of these three secrets was a key. Because data scientist alone, just statisticians basically are people who can all do machine learning. And they're not very effective because the data is too complicated. That's why you more than too complex, so they will spend a huge amount of time just trying to figure out the data. Or perhaps they will spend the time in tackling things that are useless, because it's such an interesting knows much quicker which data points are useful, which phenomenon can be found in the data or probably not found. So the combination of subject matter experts and data scientists is very powerful and together gathered by a business owner, we could tackle the most useful use cases first. So, this teams set up to work and they developed three things mainly, first of all, they develop insights on the failure modes. So, by looking at the data, and analyzing information about what happened in the field, they find out exactly how things fail in a very pragmatic and quantitative way. Also, they of course, set up to develop the predictive model with associated alerts and service actions. And a predictive model is just not an alert is just not a flag. Just not a flag, only flag that turns on like a like a traffic light, you know, but there's much more than that. It's such an alert is to be interpreted and used by highly skilled and trained engineer, for example, in a in a call center, who needs to evaluate that error and plan a service action. Service action may involve the ordering a replacement of an expensive part, it may involve calling up the customer hospital and scheduling a period of downtime, downtime to replace a part. So it has an impact on the clinical practice, could have an impact. So, it is important that the alert is coupled with sufficient evidence and information for such a highly skilled trained engineer to plan the service session efficiently. So, it's it's, it's a lot of work in terms of preparing data, preparing visualizations, and making sure that old information is represented correctly and in a compact form. Additionally, These teams develop, get insight into the failure modes and so they can provide input to the R&D organization to improve the products. So, to summarize these graphically, we took a lot of historical data from, coming from the medical devices from the history but also data from relational databases, where the service, work orders, where the part replacement, the contact information, we integrated it, and we set up to the data analytics. From there we don't have value yet, only value starts appearing when we use the insights of data analytics the model on live data. When we process live data with the module we can generate alerts, and the alerts can be used to plan the maintenance and the maintenance therefore the plant maintenance replaces replacing downtime is creating value. To give an idea of the, of the type of I cannot show you the details of these modules, all of these predictive models. But to give you an idea, this is just a picture of some of the components of our medical device for which we have models for which we have, for which we call the failure modes, hard disk, clinical grade monitoring, monitors, X ray tubes, and so forth. This is for MRI machines, a lot of custom hardware and other types of amplifiers and electronics. The alerts are then displayed in a in a dashboard, what we call a Remote monitoring dashboard. We have a team of remote monitoring engineers that basically surveyors the install base, looks at this dashboard picks up these alerts. And an alert as I said before is not just one flag, it contains a lot of information about the failure and about the medical device. And the remote monitor engineer basically will pick up these alerts, they review them and they create cases for the markets organization to handle. So, they see an alert coming in they create a case. So that the particular call center in in some country can call the customer and schedule and make an appointment to schedule a service action or it can add it preventive action to the schedule of the field service engineer who's already supposed to go to visit the customer for example. This is a picture and high-level picture of the overall data person architecture. On the bottom we have install base install base is formed by all our medical devices that are connected to our Philips and more service network. Data is transmitted in a in a secure and in a secure way to our enterprise infrastructure. Where we have a so called Data Lake, which is basically an archive where we store the data as it comes from, from the customers, it is scrubbed and protected. From there, we have a processes ETL, Extract, Transform and Load that in parallel, analyze this information, parse all these files and all this data and extract the relevant parameters. All this, the reason is that the data coming from the medical device is very verbose, and in legacy formats, sometimes in binary formats in strange legacy structures. And therefore, we parse it and we structure it and we make it magically usable by data science teams. And the results are stored in a in a vertica cluster, in a data warehouse. In the same data warehouse, where we also store information from other enterprise systems from all kinds of databases from SQL, Microsoft SQL Server, Tera Data SAP from Salesforce obligations. So, the enterprise IT system also are connected to vertica the data is inserted into vertica. And then from vertica, the data is pulled by our predictive models, which are Python and Rscripts that run on our proprietary environment helps with insights. From this proprietary environment we generate the alerts which are then used by the remote monitoring application. It's not the only application this is the case of remote monitoring. We also have applications for particular remote service. So whenever we cannot prevent or predict we cannot predict an issue from happening or we cannot prevent an issue from happening and we need to react on a customer call, then we can still use the data to very quickly troubleshoot the system, find the root cause and advice or the best service session. Additionally, there are reliability dashboards because all this data can also be used to perform reliability studies and improve the design of the medical devices and is used by R&D. And the access is with all kinds of tools. So Vertica gives the flexibility to connect with JDBC to connect dashboards using Power BI to create dashboards and click view or just simply use RM Python directly to perform analytics. So little summary of the, of the size of the data for the for the moment we have integrated about 500 terabytes worth of data tables, about 30 trillion data points. More than eighty different data sources. For our complete connected install base, including our customer relation management system SAP, we also have connected, we have integrated data from from the factory for repair shops, this is very useful because having information from the factory allows to characterize components and devices when they are new, when they are still not used. So, we can model degradation, excuse me, predict failures much better. Also, we have many years of historical data and of course 24/7 live feeds. So, to get all this going, we we have chosen very simple designs from the very beginning this was developed in the back the first system in 2015. At that time, we went from scratch to production eight months and is also very stable system. To achieve that, we apply what we call Exhaustive Error Handling. When you process, most of people attending this conference probably know when you are dealing with Big Data, you have probably you face all kinds of corner cases you feel that will never happen. But just because of the sheer volume of the data, you find all kinds of strange things. And that's what you need to take care of, if you want to have a stable, stable platform, stable data pipeline. Also other characteristic is that, we need to handle live data, but also be able to, we need to be able to reprocess large historical datasets, because insights into the data are getting generated over time by the team that is using the data. And very often, they find not only defects, but also they have changed requests for new data to be extracted to distract in a different way to be aggregated in a different way. So basically, the platform is continuously crunching data. Also, components have built-in monitoring capabilities. Transparent transparency builds trust by showing how the platform behaves. People actually trust that they are having all the data which is available, or if they don't see the data or if something is not functioning they can see why and where the processing has stopped. A very important point is documentation of data sources every data point as a so called Data Provenance Fields. That is not only the medical device where it comes from, with all this identifier, but also from which file, from which moment in time, from which row, from which byte offset that data point comes. This allows to identify and not only that, but also when this data point was created, by whom, by whom meaning which version of the platform and of the ETL created a data point. This allows us to identify issues and also to fix only the subset of when an issue is identified and fixed. It's possible then to fix only subset of the data that is impacted by that issue. Again, this grid trusts in data to essential for this type of applications. We actually have different environments in our analytic solution. One that we call data science environment is more or less what I've shown so far, where it's deployed in our Philips private cloud, but also can be deployed in in in public cloud such as Amazon. It contains the years of historical data, it allows interactive data exploration, human queries, therefore, it is a highly viable load. It is used for the training of machine learning algorithms and this design has been such that we it is for allowing rapid prototyping and for large data volumes. In other environments is the so called Production Environment where we actually score the models with live data from generation of the alerts. So this environment does not require years of data just months, because a model to make a prediction does not need necessarily years of data, but maybe some model even a couple of weeks or a few months, three months, six months depending on the type of data on the failure which has been predicted. And this has highly optimized queries because the applications are stable. It only only change when we deploy new models or new versions of the models. And it is designed optimized for low latency, high throughput and reliability is no human intervention, no human queries. And of course, there are development staging environments. And one of the characteristics. Another characteristic of all this work is that what we call Data Driven Service Innovation. In all this work, we use the data in every step of the process. The First business case creation. So, basically, some people ask how did you manage to find the unlocked investment to create such a platform and to work on it for years, you know, how did you start? Basically, we started with a business case and the business case again for that we use data. Of course, you need to start somewhere you need to have some data, but basically, you can use data to make a quantitative analysis of the current situation and also make it as accurate as possible estimate quantitative of value creation, if you have that basically, is you can justify the investments and you can start building. Next to that data is used to decide where to focus your efforts. In this case, we decided to focus on the use cases that had the maximum estimated business impact, with business impact meaning here, customer value, as well as value for the company. So we want to reduce unplanned downtime, we want to give value to our customers. But it would be not sustainable, if for creating value, we would start replacing, you know, parts without any consideration for the cost of it. So it needs to be sustainable. Also, then we use data to analyze the failure modes to actually do digging into the data understanding of things fail, for visualization, and to do reliability analysis. And of course, then data is a key to do feature engineering for the development of the predictive models for training the models and for the validation with historical data. So data is all over the place. And last but not least, again, these models is architecture generates new data about the alerts and about the how good the alerts are, and how well they can predict failures, how much downtime is being saved, how money issues have been prevented. So this also data that needs to be analyzed and provides insights on the performance of this, of this models and can be used to improve the models found. And last but not least, once you have performance of the models you can use data to, to quantify as much as possible the value which is created. And it is when you go back to the first step, you made the business value you you create the first business case with estimates. Can you, can you actually show that you are creating value? And the more you can, have this fitness feedback loop closed and quantify the better it is for having more and more impact. Among the key elements that are needed for realizing this? So I want to mention one about data documentation is the practice that we started already six years ago is proven to be very valuable. We document always how data is extracted and how it is stored in, in data model documents. Data Model documents specify how data goes from one place to the other, in this case from device logs, for example, to a table in vertica. And it includes things such as the finish of duplicates, queries to check for duplicates, and of course, the logical design of the tables below the physical design of the table and the rationale. Next to it, there is a data dictionary that explains for each column in the data model from a subject matter expert perspective, what that means, such as its definition and meaning is if it's, if it's a measurement, the use of measure and the range. Or if it's a, some sort of, of label the spec values, or whether the value is raw or or calculated. This is essential for maximizing the value of data for allowing people to use data. Last but not least, also an ETL design document, it explains how the transformation has happened from the source to the destination including very important the failure and the strategy. For example, when you cannot parse part of a file, should you load only what you can parse or drop the entire file completely? So, import best effort or do all or nothing or how to populate records for which there is no value what are the default values and you know, how to have the data is normalized or transform and also to avoid duplicates. This again is very important to provide to the users of the data, if full picture of all the data itself. And this is not just, this the formal process the documents are reviewed and approved by all the stakeholders into the subject matter experts and also the data scientists from a function that we have started called Data Architect. So to, this is something I want to give about, oh, yeah and of course the the documents are available to the end users of the data. And we even have links with documents of the data warehouse. So if you are, if you get access to the database, and you're doing your research and you see a table or a view, you think, well, it could be that could be interesting. It looks like something I could use for my research. Well, the data itself has a link to the document. So from the database while you're exploring data, you can retrieve a link to the place where the document is available. This is just the quick summary of some of the of the results that I'm allowed to share at this moment. This is about image guided therapy, using our remote service infrastructure for remotely connected system with the right contracts. We can achieve we have we have reduced downtime by 14% more than one out of three of cases are resolved remotely without an engineer having to go outside. 82% is the first time right fixed rate that means that the issue is fixed either remotely or if a visit at the site is needed, that visit only one visit is needed. So at that moment, the engineer we decided the right part and fix this straightaway. And this result on average on 135 hours more operational availability per year. This therefore, the ability to treat more patients for the same costs. I'd like to conclude with citing some nice testimonials from some of our customers, showing that the value that we've created is really high impact and this concludes my presentation. Thanks for your attention so far. >> Thank you Morrow, very interesting. And we've got a number of questions that we that have come in. So let's get to them. The first one, how many devices has Philips connected worldwide? And how do you determine which related center data workloads get analyzed with protocols? >> Okay, so this is just two questions. So the first question how many devices are connected worldwide? Well, actually, I'm not allowed to tell you the precise number of connected devices worldwide, but what I can tell is that we are in the order of tens of thousands of devices. And of all types actually. And then, how would we determine which related sensor gets analyzed with vertica well? And a little bit how I set In the in the presentation is a combination of two approaches is a data driven approach and the knowledge driven approach. So a knowledge driven approach because we make maximum use of our knowledge of the failure modes, and the behavior of the medical devices and of their components to select what we think are promising data points and promising features. However, from that moment on data science kicks in, and it's actually data science is used to look at the actual data and come up with quantitative information of what is really happening. So, it could be that an expert is convinced that the particular range of value of a sensor are indicative of a particular failure. And it turns out that maybe it was too optimistic on the other way around that in practice, there are many other situations situation he was not aware of. That could happen. So thanks to the data, then we, you know, get a better understanding of the phenomenon and we get the better modeling. I bet I answered that, any question? >> Yeah, we have another question. Do you have plans to perform any analytics at the edge? >> Now that's a good question. So I can't disclose our plans on this right now, but at the edge devices are certainly one of the options we look at to help our customers towards Zero Unplanned Downtime. Not only that, but also to facilitate the integration of our solution with existing and future hospital IT infrastructure. I mean, we're talking about advanced security, privacy and guarantee that the data is always safe remains. patient data and clinical data remains does not go outside the parameters of the hospital of course, while we want to enhance our functionality provides more value with our services. Yeah, so edge definitely very interesting area of innovation. >> Another question, what are the most helpful vertica features that you rely on? >> I would say, the first that comes to mind, to me at this moment is ease of integration. Basically, with vertica, we will be able to load any data source in a very easy way. And also it really can be interfaced very easily with old type of ions as an application. And this, of course, is not unique to vertica. Nevertheless, the added value here is that this is coupled with an incredible speed, incredible speed for loading and for querying. So it's basically a very versatile tool to innovate fast for data science, because basically we do not end up another thing is multiple projections, advanced encoding and compression. So this allows us to perform the optimizations only when we need it and without having to touch applications or queries. So if we want to achieve high performance, we Basically spend a little effort on improving the projection. And now we can achieve very often dramatic increases in performance. Another feature is EO mode. This is great for for cloud for cloud deployment. >> Okay, another question. What is the number one lesson learned that you can share? >> I think that would my advice would be document control your entire data pipeline, end to end, create positive feedback loops. So I hear that what I hear often is that enterprises I mean Philips is one of them that are not digitally native. I mean, Philips is 129 years old as a company. So you can imagine the the legacy that we have, we will not, you know, we are not born with Web, like web companies are with with, you know, with everything online and everything digital. So enterprises that are not digitally native, sometimes they struggle to innovate in big data or into to do data driven innovation, because, you know, the data is not available or is in silos. Data is controlled by different parts of the organ of the organization with different processes. There is not as a super strong enterprise IT system, providing all the data, you know, for everybody with API's. So my advice is to, to for the very beginning, a creative creating as soon as possible, an end to end solution, from data creation to consumption. That creates value for all the stakeholders of the data pipeline. It is important that everyone in the data pipeline from the producer of the data to the to the consumers, basically in order to pipeline everybody gets a piece of value, piece of the cake. When the value is proven to all stakeholders, everyone would naturally contribute to keep the data pipeline running, and to keep the quality of the data high. That's the students there. >> Yeah, thank you. And in the area of machine learning, what types of innovations do you plan to adopt to help with your data pipeline? >> So, in the error of machine learning, we're looking at things like automatically detecting the deterioration of models to trigger improvement action, as well as connected with active learning. Again, focused on improving the accuracy of our predictive models. So active learning is when the additional human intervention labeling of difficult cases is triggered. So the machine learning classifier may not be able to, you know, classify correctly all the time and instead of just randomly picking up some cases for a human to review, you, you want the costly humans to only review the most valuable cases, from a machine learning point of view, the ones that would contribute the most in improving the classifier. Another error is is deep learning and was not working on it, I mean, but but also applications of more generic anomaly detection algorithms. So the challenge of anomaly detection is that we are not only interested in finding anomalies but also in the recommended proper service actions. Because without a proper service action, and alert generated because of an anomaly, the data loses most of its value. So, this is where I think we, you know. >> Go ahead. >> No, that's, that's it, thanks. >> Okay, all right. So that's all the time that we have today for questions. I want to thank the audience for attending Mauro's presentation and also for your questions. If you weren't able to, if we weren't able to answer your question today, I'd ask let we'll let you know that we'll respond via email. And again, our engineers will be at the vertica, on the vertica quorums awaiting your other questions. It would help us greatly if you could give us some feedback and rate the session before you sign off. Your rating will help us guide us as when we're looking at content to provide for the next vertica BTC. Also, note that a replay of today's event and a PDF copy of the slides will be available on demand, we'll let you know when that'll be by email hopefully later this week. And of course, we invite you to share the content with your colleagues. Again, thank you for your participation today. This includes this breakout session and hope you have a wonderful day. Thank you. >> Thank you

>>live from Stanford University. It's the queue covering Stanford women in data science 2020. Brought to you by Silicon Angle Media. >>Hi! And welcome to the Cube. I'm your host, Sonia, to guard. And we're live at Stanford University covering Woods Women in Data Science Conference The fifth annual one And joining us today is Daphne Koller, who is the co founder who sorry is the CEO and founder of In Citro that Daphne. Welcome to the Cube. >>Nice to be here, Sonia. Thank you for having me. So >>tell us a little bit about in Citro how you how you got founded and more about your >>role. So I've been working in the intersection of machine learning and biology and health for quite a while, and it was always a bit of an interesting journey and that the data sets were quite small and limited. We're now in a different world where there's tools that are allowing us to create massive biological data sense that I think can help us solve really significant societal problems. And one of those problems that I think is really important is drug discovery and development, where despite many important advancements, the costs just keep going up and up and up. And the question is, can we use machine learning to solve that problem >>better? And you talk about this more in your keynote, so give us a few highlights of what you talked about. So in the last, you can think of >>drug discovery development in the last 50 to 70 years as being a bit of a glass half full glass, half empty. The glass half full is the fact that there's diseases that used to be a death sentence or of sentenced, a lifelong of pain and suffering that >>are now >>addressed by some of the modern day medicines. And I think that's absolutely amazing. The >>other side of >>it is that the cost of developing new drugs has been growing exponentially and what's come to be known as the Rooms law being the inverse of Moore's law, which is the one we're all familiar with because the number of drugs approved per 1,000,000,000 U. S. Dollars just keeps going down exponentially. So the question is, can we change that curve? >>And you talked in your keynote about the interdisciplinary culture to tell us more about that? I think in >>order to address some of the critical problems that we're facing. One needs to really build a culture of people who work together at from different disciplines, each bringing their own insights and their own ideas into the mix. So and in Citro, we actually have a company. That's half life scientists, many of whom are producing data for the purpose of driving machine learning models and the other Halford machine learning people in data scientists who are working on those. But it's not a handoff where one group produces that they then the other one consumes and interpreted. But really, they start from the very beginning to understand. What are the problems that one could solve together? How do you design the experiment? How do you build the model and how do you derive insights from that that can help us make better medicines for people? >>And, um, I also wanted to ask you the you co founded coursera, so tell us a little bit more about that platform. So I found that >>coursera as a result of work that I've been doing at Stanford, working on how technology can make education better and more accessible. This was a project that I did here, number of my colleagues as well. And at some point in the fall of 2011 there was an experiment of Let's take some of the content that we've been we've been developing within within Stanford and put it out there for people to just benefit from, and we didn't know what would happen. Would it be a few 1000 people, but within a matter of weeks with minimal advertising Other than one New York Times article that went viral, we had 100,000 people in each of those courses. And that was a moment in time where, you know, we looked at it at this and said, Can we just go back to writing more papers or is there an incredible opportunity to transform access to education to people all over the world? And so I ended up taking a what was supposed to be to really absence from Stanford to go and co found coursera, and I thought I'd go back after two years, but the But at the end of that two year period, the there was just so much more to be done and so much more impact that we could bring to people all over the world, people of both genders, people of different social economic status, every single country around the world. We just felt like this was something that I couldn't not dio. >>And how did you Why did you decide to go from an educational platform to then going into machine learning and biomedicine? >>So I've been doing Corsair for about five years in 2016 and the company was on a great trajectory. But it's primarily >>a >>a content company, and around me, machine learning was transforming the world, and I wanted to come back and be part of that. And when I looked around, I saw machine learning being applied to e commerce and the natural language and to self driving cars. But there really wasn't a lot of impact being made on the life science area. I wanted to be part of making that happen, partly because I felt like coming back to your earlier comment that in order to really have that impact, you need to have someone who speaks both languages. And while there's a new generation of researchers who are bilingual in biology and machine learning, there's still a small group in there, very few of those in kind of my age cohort and I thought that I would be able to have a real impact by bullying company in the space. >>So it sounds like your background is pretty varied. What advice would you give to women who are just starting college now who may be interested in the similar field? Would you tell them they have to major in math? Or or do you think that maybe, like there's some other majors that may be influential as well? I think >>there is a lot of ways to get into data science. Math is one of them. But there's also statistics or physics. And I would say that especially for the field that I'm currently in, which is at the intersection of machine learning data science on the one hand, and biology and health on the other one can, um, get there from biology or medicine as well. But what I think is important is not to shy away from the more mathematically oriented courses in whatever major you're in, because that foundation is a really strong one. There is ah lot of people out there who are basically lightweight consumers of data science, and they don't really understand how the methods that they're deploying, how they work and that limits thumb in their ability to advance the field and come up with new methods that are better suited, perhaps, of the problems of their tackling. So I think it's totally fine. And in fact, there's a lot of value to coming into data science from fields other than now third computer science. But I think taking courses in those fields, even while you're majoring in whatever field you're interested in, is going to make you a much better person who lives at that intersection. >>And how do you think having a technology background has helped you in in founding your companies and has helped you become a successful CEO in companies >>that are very strongly R and D, focused like like in Citro and others? Having a technical co founder is absolutely essential because it's fine to have and understanding of whatever the user needs and so on and come from the business side of it. And a lot of companies have a business co founder. But not understanding what the technology can actually do is highly limiting because you end up hallucinating. Oh, if we could only do this and that would be great. But you can't and people end up often times making ridiculous promises about what's technology will or will not do because they just don't understand where the land mines sit. And, um, and where you're going to hit reels, obstacles in the path. So I think it's really important to have a strong technical foundation in these companies. >>And that being said, Where do you see in Teacher in the future? And how do you see it solving, Say, Nash, that you talked about in your keynote. >>So we hope that in Citro will be a fully integrated drug discovery and development company that is based on a completely different foundation than a traditional pharma company where they grew up. In the old approach of that is very much a bespoke scientific um, analysis of the biology of different diseases and then going after targets are ways of dealing with the disease that are driven by human intuition. Where I think we have the opportunity to go today is to build a very data driven approach that collects massive amounts of data and then let analysis of those data really reveal new hypotheses that might not be the ones that accord with people's preconceptions of what matters and what doesn't. And so hopefully we'll be able to overtime create enough data and applying machine learning to address key bottlenecks in the drug discovery development process that we can bring better drugs to people, and we can do it faster and hopefully it much lower cost. >>That's great. And you also mention in your keynote that you think the 20 twenties is like a digital biology era, so tell us more about that. So I think if >>you look, if you take a historical perspective on science and think back, you realize that there's periods in history where one discipline has made a tremendous amount of progress in relatively short amount of time because of a new technology or a new way of looking at things in the 18 seventies, that discipline was chemistry with the understanding of the periodic table, and that you actually couldn't turn lead into gold in the 19 hundreds. That was physics with understanding the connection between matter and energy in between space and time. In the 19 fifties that was computing where silicon chips were suddenly able to perform calculations that up until that point, only people have been able to >>dio. And then in 19 nineties, >>there was an interesting bifurcation. One was three era of data, which is related to computing but also involves elements, statistics and optimization of neuroscience. And the other one was quantitative biology. In which file do you move from a descriptive signs of taxonomy izing phenomenon to really probing and measuring biology in a very detailed on high throughput way, using techniques like micro arrays that measure the activity of 20,000 genes at once, or the human genome sequencing of the human genome and many others. But >>these two fields kind of >>evolved in parallel, and what I think is coming now, 30 years later, is the convergence of those two fields into one field that I like to think of a digital biology where we are able using the tools that have and continue to be developed, measure biology, an entirely new levels of detail, of fidelity of scale. We can use the techniques of machine learning and data signs to interpret what we're seeing and then use some of the technologies that are also emerging to engineer biology to do things that it otherwise wouldn't do. And that will have implications and bio materials in energy and the environment in agriculture. And I think also in human health. And it's a incredibly exciting space toe to be in right now, because just so much is happening in the opportunities to make a difference and make the world a better place or just so large. >>That sounds awesome. Stephanie. Thank you for your insight. And thanks for being on the Cube. Thank you. I'm Sonia. Taqueria. Thanks for watching. Stay tuned for more. Okay? Great. Yeah, yeah, yeah.

from our studios in the heart of Silicon Valley Palo Alto California this is a cute conversation hey welcome back here ready Jeff Rick here with the cube we're in our Palo Alto studios today to have a cube conversation with a really exciting company they've actually been around for a while but they've raised a ton of money and they're doing some really important work in the world in which we live today which is a lot different than the world was when they started in 2010 so we're excited to welcome to the studio he's been around before Mohit lad he is the CEO and co-founder of thousand ice mode great to see you great to see you as well thrilled to be here yeah welcome back but for people that didn't see the last video or not that familiar with thousand ice tell them a little bit kind of would a thousand eyes all about absolutely so in today's world the cloud is your new data center the Internet is your new network and SAS is your new application stack and thousand eyes is built to be the the only thing that can really help you see across all three of these like it's your own private environment I love that I love that kind of setup and framing because those are the big three things and as you said all those things have moved from inside your control to outside of your control so in 2010 is that was that division I mean when you guys started the company UCLA I guess a while ago now what was that the trend what did you see what yes what kind of started it so it's really interesting right so our background is a founding company with two founders we did our PhD at UCLA in computer science and focused on Internet and we were fascinated by the internet because it was just this complex system that nobody understood but we knew even then that it would meaningfully change our lives not just as consumers but even as enterprise companies so we had this belief that it's gonna be the backbone of the modern enterprise and nobody quite understood how it worked because everyone was focused on your own data center your own network and so our entire vision at that point was we want people to feel the power of seeing the internet like your network that's sort of where we started and then as we started to expand on that vision it was clear to us that the internet is what brings companies together what brings the cloud closer to the enterprise what brings the SAS applications closer to the enterprise right so we expanded into into cloud and SAS as well so when you had that vision you know people had remote offices and they would set up they would you know set up tunnels and peer-to-peer and all kinds of stuff why did you think that it was going to go to that next step in terms of the Internet you know just kind of the public Internet being that core infrastructure yes so we were at the at the very early stages of this journey to cloud right and at the same time you had companies like Salesforce you had office 365 they were starting to just make it so much easier for companies to deploy a CRM you don't have to stand up these massive servers anymore its cloud-based so it was clear to us that that was gonna be the new stack and we knew that you had to build a fundamentally different technology to be able to operate in that stack and it's not just about visibility it's about making use of collective information as well because you're going from a private environment with your own data center your own private network your own application stack to something that's sitting in the cloud which is a shared environment going over the Internet which is the same network that carries cat videos that your kids watch it's carrying production traffic now for your core applications and so you need a different technology stack and you need to really sort of benefit from this notion of collective intelligence of knowing what everybody sees together as one view so I'm curious force was such an important company in terms of getting enterprises to trust a SAS application for really core function with just sales right I think that was a significant moment in moving the dial was there a killer app for you guys that was you know for your customers the one where they finally said wait you know we need a different level of visibility to something that we rely on that's coming to us through an outside service so it's interesting right when we started the company we had a lot of advisors that said hey your position should be you're gonna help enterprises enforce SLA with Salesforce and we actually took a different position because what we realized was Salesforce did all the right stuff on their data centers but the internet could mess things up or enterprise companies that were not ready to move the cloud didn't have the right architectures would have some bottlenecks in their own environment because they are backhauling traffic from their London office to New York and then exiting from New York they're going back to London so all this stuff right so we took the position of really presenting thousand eyes as a way to get transparency into this ecosystem and we we believe that if we take this position if we want to help both sides not just the enterprise companies we want to help sales force we want to have enterprise companies and just really present it as a means of finding a common truth of what is actually going on it works so much better right so there wasn't really sort of one killer application but we found that anything that was real-time so if you think about video based applications or any sort of real-time communications based so the web access of the world they were just very sensitive to network conditions and internet conditions same with things that are moving a lot of data back and forth so these applications like Salesforce office 365 WebEx they just are demanding applications on the infrastructure and even if they're run great if the infrastructure doesn't it doesn't give you a great experience right and and and you guys made a really interesting insight to its and it's an all your literature it's it's a really a core piece of what you're about and you know when you owned it you could diagnose it and hopefully you could fix it or call somebody else to fix it but when you don't own it it's a very different game and as you guys talked about it's really about finding the evidence or everyone's not pointing fingers back in and forth a to validate where the actual problem is and then to also help those people fix the problem that you don't have direct control of so it's a very different you know kind of requirement to get things fixed when they have to get fixed yeah and the first aspect of that is visibility so as an example right you generally don't have a problem going from one part of your house to another part of your house because you own the whole place you know exactly what sits between the two rooms that you're trying to get to you don't you don't have run into surprises but when you're going from let's say Palo Alto to San Francisco and you have two options you can take 101 or 280 you need to know what you expect to see before you get on one of those options right and so the Internet is very similar you have these environments that you have no idea what to expect and if you don't see that with the right level of granularity that you would in your own environments you would make decisions that you have you know you have no control over right the visibility is really important but it's giving that lens like making it feel like a google maps of the internet that gives you the power to look at these environments like it's your private network that's the hard part right and then so what you guys have done as I understand is you've deployed sensors basically all over the Internet all at an important pops yeah and a point in public clouds and important enterprises etc so that you now have a view of what's going on it I can have that view inside my enterprise by leveraging your infrastructures that accurate correct and so this is where the notion of being able to set up this sort of data collection environment is really difficult and so we have created all of this over years so enterprise companies consumer companies they can leverage this infrastructure to get instant results so there's zero implementation in what right but the key to that is also understanding the internet itself and so this is where a research background comes in play because we studied we did years of research on actually modeling the Internet so we know what strategic locations to put these probes that to give good coverage we know how to fill the gaps and so it's not just a numbers game it's how you deploy them where you deploy them and knowing that connectivity we've created this massive infrastructure now that can give you eyes on the internet and we leverage all of their data together so if let's say hypothetically you know AT&T has an issue that same issue is impacting multiple customers through all our different measurements so it's like ways if you're using ways to get from point A to point B if Waze was just used by your family members and nobody else it would give you completely useless information values in that collective insight right and then now you also will start to be able to leverage ml and AI and you know having all that data and apply just more machine learning to it to even better get in get out in front of problems I imagine as much as as is to be able to identify so that's a really interesting point right so the first thing we have to tackle is making a complex data set really accessible and so we have a lot of focus into essentially getting insights out of it using techniques that are smarter than the brute-force techniques you get insights out and then present it in manners that it's accessible and digestible and then as we look into the next stages we're going to bring more and more things like learning and so on to take it even further right it's funny the accessible and digestible piece I was just had a presentation the other day and there was a woman from a CSO at a big bank and she talked about you know the problem of false positives and in in early days I mean their biggest issues was just too much data coming in from too many sensors and and too many false positives to basically bury people so they didn't have time to actually service the things that are a priority so you know a nice presentation of a whole lot of data makes a big difference to make it action it is absolutely true and now that the example I'll give you is oftentimes when you think about companies that operate with a strong network core like we do they're in the weeds right which is important but what is really important is tying that intelligence to business impact and so the entire product portfolio we've built it's all about business impact user experience and then going into connecting the dots or the network side so we've seen some really interesting events and as much as we know the internet every day I wake up and I see something that surprises me right we've had customers that have done migrations to cloud that have gone horribly wrong right so we the latest when I was troubleshooting with the customer was where we saw they migrated from there on from data center to Amazon and the user experience was 10x worse than what it was on their own data of the app once they moved to Amazon okay and what had happened there was the whole migration to Amazon included the smart sort of CDN where they were fronting your traffic at local sites but the traffic was going all over the place so from if a user was in London instead of going to the London instance of Amazon they were going to Atlanta or they were going to Los Angeles and so the whole migration created a worse user experience and you don't have that lens because you don't see that in a net portion of that right that's why we like we caught it instantly and we were able to showcase that hey this is actually a really bad migration and it's not that Amazon is bad it's just it's been implemented incorrectly right so yeah fix these things and those are all configurations all Connecticut which is so very easy all the issues you hear about with with Amazon often go back to miss configuration miss settings suboptimal leaving something open so to have that visibility makes a huge impact and it's more challenging because you're trying to configure different components of this environment right so you have a cloud component you have the Internet component your own network you have your own firewalls and you used to have this closed environment now it's hybrid it involves multiple parties multiple skill sets so a lot of things can really go wrong I think I think you guys you guys crystallized very cleanly is kind of the inside out and outside in approach both you know a as as a service consumer yeah right I'm using Salesforce I'm using maybe s3 I'm using these things that I need and I want to focus on that and I want to have a good experience I want my people to be able to get on their Salesforce account and book business but but don't forget the other way right because as people are experiencing my service that might be connecting through and aggregating many other services along the way you know I got to make sure my customer experience is big and you guys kind of separate those two things out and really make sure people are focusing on both of them correct and it's the same technology but you can use that for your production services which are revenue generating or you can use that for your employee productivity the visibility that you provide is is across a common stack but on the production side for example because of the way the internet works right your job is not just to ensure a great performance in user experience your job is also to make sure that people are actually reaching your site and so we've seen several instances where because of the way internet works somebody else could announce that their google.com and they could suck a bunch of traffic from the internet and this happens quite routinely in the notion of what is now known as DP hijacks or sometimes DNS hijacks and the the one that I remember very well is when there was the small ISP in Nigeria that announced the identity of the address block for Google and that was picked up by China Telecom which was picked up by a Russian telco and now you have Russia China and Nigeria in the path for traffic to Google which is actually not even going to Google's right those kinds of things are very possible because of the way the internet how fast those things kind of rise up and then get identified and then get shut off is this hours days weeks in this kind of example so it really depends because if you are let's say you were Google in this situation right you're not seeing a denial of service attack to your data centers in fact you're just not seeing traffic running in because somebody else is taking it away right it's like identity theft right like I somebody takes your identity you wouldn't get a mail in your inbox saying hey your identity has been taken back so easy you have to find it some other way and usually it's the signal by the time you realize that your identity has been stolen you have a nightmare ahead of you alright so you got some specific news a great great conversation you know it's super insightful to talk to people that are in the weeds of how all the stuff works but today you have a new a new announcement some new and new offering so tell us about what's going on so we have a couple of announcements today and coming back to this notion of the cloud being a new data center the internet your new network right two things were announcing today is one we're announcing our second version of the cloud then benchmark performance comparison and what this is about is really helping people understand the nuances the performance difference is the architecture differences between Amazon Google as your IBM cloud and Alibaba cloud so as you make decisions you actually understand what is the right solution for me from a performance architecture standpoint so that's one it's a fascinating report we found some really interesting findings that surprised us as well and so we're releasing that we're also touching on the internet component by releasing a new product which we call as internet insights and that is giving you the power to actually look at the internet more holistically like you own the entire internet so that is really something we're all excited about because it's the first time that somebody can actually see the Internet see all these connections see what is going on between major service providers and feel like you completely owned the environment so are people using information like that to dynamically you know kind of reroute the way that they handle their traffic or is it more just kind of a general health you know kind of health overview you know how much of it do I have control over how much should I have control over and how much of I just need to know what's going on so yeah so it just me great question so the the best way I can answer that is what I heard CIO say in a CIO forum we were presenting at where they were a customer it's a large financial services customer and somebody asked the CIO what was the value of thousand I wasn't the way he explained it which was really fascinating was phase one of thousand eyes when we started using it was getting rid of technical debt because we would keep identifying issues which we could fix but we could fix the underlying root cause so it doesn't happen again and that just cleared the technical debt that we had made our environment much better and then we started to optimize the environments to just get better get more proactive so that's a good way to think about it when you think about our customers most of the times they're trying to just not have their hair on fire right that's the first step right once we can help them with that then they go on to tuning optimizing and so on but knowing what is going on is really important for example if you're providing a.com sir is like cube the cube comm right it's its life and you're providing it from your data center here you have two up streams like AT&T and Verizon and Verizon is having issues you can turn off that connection and let all your customers back live having a full experience if you know that's the issues right right the remediation is actually quite quite a few times it's very straightforward if you know what you're trying to solve right so do you think on the internet insights this is going to be used just more for better remediation or do you think it's it's kind of a step forward and getting a little bit more proactive and a little bit more prescriptive and getting out ahead of the issues or or can you because these things are kind of ephemeral and come and go so I think it's all of the about right so one the things that the internet insights will help you is with planning because as you expand into new geo so if you're a company that's launching a service in a new market right that immediately gives you a landscape of who do you connect with where do you host right as now you can actually visualize the entire network how do you reach your customer base the best right so that's the planning aspect and if you plan right you would actually reduce a lot of the trouble that you see so we had this customer of ours that was deploying Estevan Software Defined one in there a she offices and they used thousand eyes to evaluate two different ISPs that they were looking at one of them had this massive time-of-day congestion so every time every day at nine o'clock the latency would get doubled because of congestion it's common in Asia the other did not have time of day congestion and with that view they could implement the entire Estevan on the ice pea that actually worked well for them so planning is important part of this and then the other aspect of this is the thing that folks often don't realize is Internet is not static it's constantly changing so you know AT&T might connect to Verizon this way it connects it differently it connects to somebody else and so having that live map as you're troubleshooting customer experience issues so let's say you have customers from China that are having a ton of issues all of a sudden or you see a drop of traffic from China now you can relate that information of where these customers are coming from with our view of the health of the Chinese Internet and which specific ISPs are having issues so that's the kind of information merger that simply doesn't happen today right promote is a fascinating discussion and we could go on and on and on but unfortunately do not have all day but I really like what you guys are doing the other thing I just want to close on which which I thought was really interesting is you know a lot of talk about digital transformation we always talk about digital transformation everybody wants the digital transfer eyes it but you really boiled it down into really three create three critical places that you guys play the digital experience in terms of what what the customers experience you know getting to cloud everybody wants to get to cloud someone can argue how much and what percentage but everybody's going to cloud and then as you said in this last example the MA when as you connect all these remote sites and you guys have a play in all of those places so whatever you thought about in 2010 that worked out pretty well thank you and we had a really strong vision but kudos to the team that we have in place that has stretched it and really made the most out of that so excited good job and thanks for for stopping by sharing the story thank you for hosting always a fun to be here absolutely all right well he's mo and I'm Jeff you're watching the cube when our power out the studio's having a cute conversation thanks for watching we'll see you next time [Music]

>>Live from Denver, Colorado. It's the cube covering com vault go 2019 brought to you by Combolt. >>Welcome to the cube. Lisa Martin with Stu Miniman. We are in Denver, Colorado, specifically Aurora, actually for the fourth annual comm vault. Go. Stu, I'm super excited to be back hosting with you again. Lisa, it's great to be with you our second year doing Convolt go last year. Keith Townsend with here with me and so glad you're here with me because you've got a little bit of background with this company I was with come out 10 years ago. It's scary to think that it's been 10 years that we're at the Gaylord Gaylord Rockies, which is one of their customers, massive conventions that aren't, as you said, the first conference that the Gaylord that probably heard that this, this convention center just opened up a couple of months ago. I think it holds like 1500 people, the 1500 rooms at the hotel and supposedly this is the first large event that they've done and this was planned last year. >>Last year we were in Nashville at the Gaylord the year before. I think they were in DC at the Gaylord and next year I know there'll be at another Gaylord, so definitely putting their customers first. Just like in the keynote this morning they had the state of Colorado opening up the event. We always love to hear a local customer welcoming us and talking about their partnership with the supplier. Absolutely agree with that. The state of Colorado, the statue share the highest number of micro breweries per capita and I don't know about you, I'm not a beer person. I would be super blown away if that, if I was there is the too much choice in beer. It used to be, you know, you'd go in and say, okay, here's the five or 10 beers I like. Now you go in and it's like, all right, there's a hundred new ones. I haven't tried that because they weren't here last time. >>So many beers here, a greater Denver. I've been to Boulder a couple of times. They say if you want to start a microbrewery, there's one that's ready to hand you over a place because they're going out of business. They just churn and go over and everything like that. So yeah, my first time actually hosting an event of the cube here in Colorado. Super excited for that. It's a great locale. And yeah, we're talking about, you know, so Convolt a 20 year old company, a lot of customers, but a lot of new faces. You look, we're going to be talking to the next two days. They run a whole new executive team. We knew this was coming last year. Our final guest in our two days is going to be Al Bunty, who is the CEO, was one of the original 20 years with the company. So we'll, we'll talk about the Baton and some of the changes in some of the things that are, are the same. >>So yeah. Interesting. You mentioned they started things off this morning with the customer at the state of Colorado. I too, like you always love to hear the voice of the customer. And I also really like it when customers talk about the challenges that they had. They talked about the Samsung attack and all of the exposures and vulnerabilities. I love that because that's what happens. We're seeing data protection as a service, the market positive trends in the market. There are a rise in cyber attacks. I love it when customers articulate, yep, nothing is perfect, but here's how working with Combalt we were able to recover quickly from something like that. A lot of big news, you mentioned a lot of new executive leadership. This is Sanjay merchant Donnie's first go. As CEO came in about nine months ago. He's a cube alumni, said we'll get to talk to him later this morning, but he came in after successfully leading puppet through many rounds of millions and venture funding. >>He took puppet worldwide, but he came into a company with declining revenues and one where folks said combat, you've got pressures to find alternative sources of growth. They said three things specifically. One, you need to upgrade your sales force. Two, you need to enhance your marketing, and three, we need to shift gears and expand your market share and there's been a whole bunch of news, not just yesterday, today, but in the last month or so, last few weeks actually where combo is making headway in all three of them. >> At least so right, because you look on paper and you look in the key, the keynote and say we have 20 years of experience. Here's all of the analyst reports that show us as the clear leader in this space. But then you look at it and say, Oh, 2018 to 2019 declining revenues. There are a lot of competitors both as some of the big stalwarts in technology as well as many startups. >>Heck, I'm even seeing the startups now. They're trying to call the last generation of startups that are going after con vault as the legacy. So if you're not fully cloud native microservice sass base architecture, you're the old way. And that's one of the news from Combolt already is they, they've done a couple of what they call Convult ventures. So the first one you were alluding to is they bought Hedvig, which was a software defined storage company. They just bought them back in September. What was their a two 40 $250 million, which was almost half of the cash that Combolt had sitting there. Hedvig company that had been around for a number of years. We're going to have Avinash who's the founder and CEO on the program here. He was on the keynote stage going through the demo. They kind of sat at this interesting line between software defined storage and actually hyperconverged infrastructure because you could in the early days do either storage only or fully converged environments, but massive scale. >>The customer that he talked about was a very large scale deployment. Those large scale deployments are really tough and can be challenging and they're not something that you just deploy everywhere. Unlike the other announcement that Convolt announced is metallic. If you go to metallic.io, they have this new sass based architecture. They built it in months from the ground up from the internal team. Part of me is sitting there saying, okay, wait, if they could do this and you know, six months or nine months or whatever it was, why hadn't they done it before? What has changed what Convolt technology is under there? It's great. It's working, you know, Azure and AWS as well as you can have a local copy in your environment. They call it SAS plus. Um, and we need to understand a little bit more of the technology. So a lot of exciting things. >>Definitely getting awareness, but both metallic and Hedvig they call Convolt ventures. So new areas, areas that they're looking to add some incremental growth. And one of the things Sandra said in his keynote is we want to, you know, rethink primary and secondary storage. So where is Convolt will they start dipping their toe into the primary storage? Does that line blur? We've got HP on the program, you know, NetApp is up on stage with them. They have partnerships. So changing landscape Convolt has long had a strong position in the market, but as things change they want to make sure that they make themselves relevant for the next era. >>Absolutely. And the Hedvig acquisition gives them a pretty significant, a much larger presence in the software defined space. But it also is going to give them a big Tam expansion. We look at metallic as you mentioned, the venture. I want to, I want to break that down. We've got Rob Kelly's, John Colussy, and on a little bit later, what is this Combolt venture, but also giving them, it sounds to me like giving customers in mid market more choice, but one of the things I mentioned that that analysts were saying is, Hey you guys, you gotta, you gotta expand your market share, you really gotta expand marketing. So we're seeing not just the technology announcements with Hedvig for the large scale enterprises of which I think most of their revenue, at least three quarters of combat revenue does come from that large space, metallic for mid market, but also some of the seals, leadership changes that they've made to are really positioning them. New initiatives, new partner initiatives, really focused on the largest global enterprises. We're gonna break some of that down today. So in terms of routes to market, you're seeing a lot of focus on mid-market and enterprise. >>Well, at least 80% of the convulse revenue comes from the partners. So that is hugely important. How does metallic fit in? Will that be as a SAS offering? Will that be direct? Will that go through the channel? Believe it's going to, you know, the channel's going to be able to be enabled. How do all of these pieces go together? One, one note on Hedvig you talk about Tam expansion. Hedwig was not a leader in the market when it comes to where they are. There's a lot of competition there. You know, they were not a, you know, a unicorn that had a road to $1 billion worth of actual revenue there. So they got bought at a very high multiple of what their actual revenue was. And the question was did they just not have the go to market to be able to bring that and maybe Convolt can bring them there where they miss positioned in the market. >>Should they not be really primary storage? Should they go more to secondary storage where partner closely with secondary storage, because I know some of Combolt's competitors did work with Hedvig. I've talked to a number of partners out there that liked Hedvig and was like, Oh it's a nice complimentary offering to what we have, whether they be a hardware or place. So we'll being in Convolt hyper charge that growth. Obviously they've got some smart team, smart team members, have an Ash, came from Amazon and Facebook and his team. But what will this do to accelerate what they're doing? How will there be hit the word but synergies between the two sides of the company. So Sanjay and team really laying out their vision for where they want to take the company and it's challenging to be, we're the trusted, reliable enterprise and we're going to go down to the lower end of the market and we're going to go on all these cool new spaces and everything. So Combalt only has limited resources just like any other company. And how will they maintain and grow their position going forward. >>We are going to hear from a number of their customers do today who been combo customers for 10 plus years. Some of them who have a number of Convolt competitors within, you know, disparate organizations. I love to hear from them, why are you running, you know, comm vault, the backup exec within these different departments. For example. AstraZeneca is one of them. And what makes Combalt in certain departments really ideal. So going to get a good picture of that, but also love to understand from these customers who've been using Combolt for years. Do you see a new combo in 20 in their fiscal year 2020 talked about the leadership changes. As you mentioned, this is a company that's not only 20 years old but at low run. Some stats by you that Sandra Mirchandani shared this morning, they've got 2.8 million. The virtual machines protected, they've got over 700 millions of petabytes. They're protecting in the cloud, 1.6 million servers on and on and on. How is con vault of fiscal year 2020 different and and really poised at this intersection of unified >>in? One of the answers for that that we'll dig into is it's about data. So while con vault does 45 million weekly backup jobs, we used to know backup is something that you just kind of had, but you didn't necessarily use it. Now it's not just having my data and making sure that it's relied on, but how can I leverage that data? It's, you know, data at the core and you know, Sandra said data is the heart of everything they're doing. So coming from puppet, Sanjay knows about dev ops and agile and he's going to bring some of that in. He's brought in a team that's going to infuse some change in the culture and we'll see. I expect Convolt to be moving a little, little faster. They definitely have made a number of changes in the short time that he has already been there and we'll get a little bit of a roadmap as to where we see them going. >>Yeah, there's certainly seems Stu to be moving quickly. You mentioned, you know, Sonjay being nine months metallic. You mentioned also being developed in house in a matter of months, announcing the Hedvig acquisition in September. It closed October 1st there Q2 earnings come out in just a couple of weeks right before Halloween. So it seems like a lot of momentum carrying into the Denver aura area. Is it going to be a trick or a treat? Ooh, I like that as a marketer, I'm jealous that you thought of that and I didn't, but I liked that. We'll go with that all these years on the cube. You gotta you gotta have the snappy comebacks, right? So, Steve, it's gonna be a great day today we are jam packed session interview after interview with combat executives, really dissecting what they're doing, what's new, what's positioning them to really kick the door wide open and really reverse those revenues, taking them positive and really not only meeting the endless expectations, but exceeding them. So I'm looking forward to an action packed two days in Aurora with use to, can't wait. All right, first two minute, man. I'm Lisa Martin. You're watching the cube from comm vault. Go 19 we'll be right back with our first guest.

>> Live from Atlanta, Georgia, it's theCUBE covering Citrix Synergy Atlanta 2019. Brought to you by Citrix. >> Welcome back to theCUBE. Lisa Martin with Keith Townsend. Day two of theCUBE's coverage of Citrix Synergy 2019 from Atlanta, Georgia. One of the cool things that Citrix does is recognize some of their most outstanding customers and we're very pleased to welcome one of their Innovation Award nominees, from Schroders, Paul Baird, Global Head of Communications IT. Paul, welcome to theCUBE. >> Oh, thank you very much. Thank you for having me today. >> So, you and I were talking off-camera and I was mentioning this to Tim Minahan yesterday, their CMO, that the way that Citrix is doing their Innovation Awards program is a bit like Britain's Got Talent, American Idol, where they narrow down finalists and then the public gets to vote and they've created a very cool video that describes a little bit about just the tip of the iceberg about what you guys are doing. But tell our audience a little bit about Schroders and what it is that you're doing with Citrix to re-transform the employee experience. >> Okay, so Schroders are a financial services company. We're based in London although we've got offices in 27 countries globally. We deal with asset and wealth management, and we've been around for over 200 years. Over the past couple of years, we've started collapsing our London office footprint from multiple, multiple little small disparate offices into two large buildings within London. What we tried to do was really put technology on the forefront of everything that we did for that, whether or not it was IOT right the way through to our end user desktop experience and just creating the best digital experience for our users that we possibly could. >> Excellent. >> Hey, can you talk to us about how Citrix has helped empower that move to the future of work there? >> So, Citrix's VDI solution was key to everything. It was the fundamental building block where our desktop came into play and then we layered the top of our applications and our access to data and one of the fantastic things as well was our solution is called S3, which is sort of just any type, any place and from any device. And it really empowered us to be able to fulfill that. It wasn't an empty messenger statement. It really was what we believed, so people can access their desktop from iPads, from their computers they have in the house. Whether or not they're in one of our offices globally, you can access Windows desktop from your iPhone, although my eyesight tends not to be good enough for that, but it really did form that real linchpin of what we were doing. >> So, you mentioned that Schroders has been around for a couple of hundred years, so when I hear that, I think, wow, there's a lot of history. There's a lot of culture. Cultural transformation is hard to do, but it's also a catalyst. It's really essential for a business like Schroders to digitally transform. As consumers, we have these devices, multiple devices, I think yesterday, they mentioned in some stats that were really kind of staggering, that in the next few years, there will be 65 billion connected devices and each person's going to have around eight connected devices, so we have this experience with devices, we have our expectations, but you also have a culture that's pretty steeped in history at Schroders. How has Citrix been an enabler of evolving that culture as the workforce now is so distributed, but also so sort of demanding of these, let's have the same experience that I have in my personal life that I can have at work. >> I think one of the, the big pushes that we tried to do was to enable collaboration for absolutely everyone in the company. Citrix again helped us with that because we have an actual desk environment. We have flexible working and fundamentally, what we needed to do is not impinge on anyone's ability to work and to collaborate. Everyone needed to be able to access their data, their applications, their services, from wherever they were in order to properly digitally collaborate with each and every one of their colleagues. Otherwise, we'd just have done our users a disservice. It was a big change. We took the decision as well to roll out our actual desktop environment to our existing users in our old offices prior to moving in, which proved to be an absolute godsend because moving from an office for some people who'd been there for years and years, moving into new offices is a sea change. It's a difference to people's working environment, and what we endeavored to do was to give them the new technology solutions that we came up with prior to the move so that all that actually changed was the desk and the furniture and the view-- >> Smart. >> Was a lot better, but ultimately, they'd been used to the technology. We had ironed out an awful lot of problems, here and there just with the scale of deployment and things, and these people were in and working and ready to roll within minutes of actually walking in the new building. >> So, talk to us about the competitive landscape. 200 years of wealth management, you have established clients, but you're always looking to expand and get into, let's call it new money. Talk to us about the customer experience, how Citrix has enabled you to become hopefully a little bit more agile in meeting the demands of wealth management clients. They have high expectations. They have traditions they like to follow. I'm a little old school. I still like to go physically into the bank, see a person whereas my wife, you know what, if she can just do all her banking and wealth management mobile, she doesn't have to see a person at all. So, talk about kind of that range of clients that you serve. >> So, we have a variety of clients. We have a variety of clients globally. Really, with this solution that we put forward, being able to meet those client demands almost instantly in terms of accessing their data, accessing CRM tools, accessing whatever systems we needed to do, was essential with that. The issue, not the issue, the real advantage that Citrix gave us in terms of the solution as well, was that we were able to fulfill those client's needs from wherever our dealers were, wherever our fund managers were, wherever our sales force were, if that answers the question. >> Yeah, and you know, in any industry, as consumers of anything, we have choice, right? Whether it's your ISP or a retailer. If you don't, if you're not having a good experience as a consumer of that product or service, you can easily turn. I'm going to find somewhere else that's going to meet that need and I imagine that was part of the concern for Schroders was that yes, we may have, as he said, some very longstanding clients, but if we're not able to meet a range of their expectations, then they have choice to go to one of your competitors. Talk to us about how enabling the employee experience that you have done, employees can access their desktops seamlessly from switching devices if they're going from their desk into a conference room, their desktop essentially virtually follows them. How has that been an enabler of retaining clients and maybe even attracting new clients? >> I think having the ability to collaborate with our clients is key to everything that we do. Having to have that almost seamless workflow of I can sit at a desk, I can come and sit beside you at your desk, I can log in to my machine, I can show you what I'm working on, I can have an ad hoc meeting. We can pool together because fundamentally, our biggest strength as a company is our people, and actually pushing that forward and making those people work better and in a more collaborative way together, whether it's in a meeting room with clients on a video conference call and people still having access to their desktop without all the messy meetings that everyone's been in where people are trying to find cables and leads and presentations, right down to extending the solution across so that people on their mobile devices could still access that data and service, the needs of the customer and ultimately, our staff working better together gave us a better user experience and a better customer experience. >> So essentially, were you able to create an experience for the employees that was transparent to your customers? >> Yes, I believe so. I don't think our customers noticed anything, but benefit coming through. I think the new head office building has over 112 meeting rooms and they're booked morning, noon, and night and people are on client calls. People are interacting with our customers, interacting with other companies that we've acquired. They're accessing other customers' data, and they're able to fulfill all the needs of the job. >> So Paul, talk to us about the legacy of combining legacy IT, traditional services with, and systems with this new frontward-facing capabilities. You have mobile apps, but then as a 200-year-old company, I'm sure you guys have some legacy technology sitting around. Citrix has, and other companies such as SAP, have talked about what comes after digital transformation, so we've given employees mobile devices. We're giving them new applications, ways to access accounts on the go. The next level is the employee experience, the customer experience. From yesterday's keynote, when they talked about automation, the ability to use Citrix to automate workflows and make the marketer's job easier, what do you see potential advantages in your industry to being able to automate things that eat up that 1/5 of your work week? What do you think some of the innovations that will come out of your business as a result? >> That's a very good question. I think yesterday's keynote was fascinating, definitely resonated, the idea of everyone having almost archeological IT, and just layers and layers and everyone has slightly older systems. Everyone has systems that are essential to their business. I think moving forward, having some essential tier that people access so that all their day-to-day repetitive tasks just become simpler and it just becomes a whole list of text boxes to run through is an absolute godsend. As a manager myself, I spend a significant amount of time going through HR approvals and going through purchase requests and doing this and that. That constant jump from system to system to system, anything that can actually be done to improve that flow is beneficial to all of us. >> They talked about their aim yesterday, Citrix did, about being able to streamline this employee experience with intelligence. That they're aiming to give back users one whole day a week which Keith and I were saying, that's two months a year, absolutely I would sign up for that. They also talked yesterday about historically, enterprise software being designed for power users, which only makes up 1% of the user base. How have, you mentioned, I like how you talked about that, in terms of the cultural shift, not just to a brand new facility in London, but we started them on this new software powered by Citrix first, so that by the time they got to this new location, from a change perspective, it was a lot more manageable, but as it relates to software being designed now by Citrix for the general users, what was adoption like across Schroders once you rolled out this new solution? Was it something that just went, oh, okay, I get it. >> So the adoption was very carefully managed. We're big believers in having user change champions. They were consulted all the way through it. We did a whole piece of work to determine which departments went first and move forward with them. We tried to move at pace because as we talked about before, one of the big benefits that we had with the solution was actually being able to deploy the solution to our users before we move into the new office, so that we could actually make this a more seamless transition for something that's a big thing for a lot of people, you know, but moving geography is you know, people don't like change, you know. And being able to do that and roll that across with a constant feedback loop that we were getting from our users and those change champions was really essential to the success. >> So talking about change champions, you're in the business of IT communications. Getting out kind of the message for change, making sure that users understand the changes that are taking place whether systems, environment, et cetera and that they adopt it, so getting early champions on board. One of the challenges I found when I managed IT communications is that getting people to read past the first line of a email, saying that there's change coming, people don't like change and you send a email about change, they're not going to read it. So, what have been some of the effective ways that you've been able to communicate and prepare people for change? >> It's really important because I agree entirely. That whole email delivery of information really doesn't work. >> Right. >> And people put it just down a spam and you know, they-- >> Like, they could put corporate email in the spam folder. They put IT communications there. >> And what we did is we did everything from poster campaigns, there was leaflet campaigns, and it wasn't just global technology. We worked with all areas of the program who were pushing forward to get our staff in our new head office, so there was road shows in our old canteen. They could come in for a whole week at one point and log in to the new technology and we had exact mock ups of what the new desks were going to look like and that had really, really positive benefits. We had videos behind our Genius bars that we had set up so that people, almost wherever they went, were actually seeing what that new technology generally was going to look like for them as well, and that really gave us a lot of benefits as well because people became more engaged, they understood where we were going, it wasn't just, we're going to send an email and you're going to come into work on a Monday morning and everything's changed in front of me and what just happened, you know, so. >> Very methodical, very strategic rollout, what you did, which is really impressive, but it also sounds like from your perspective as the head of Global IT Communications, that you were liaising with the other heads of other functions. This was a business imperative. This wasn't just being driven by IT. That's what it sounds like, is that correct? >> Yeah, and we have become very, very collaborative. My role in terms of communications, I actually run networks and communications. It's not traditional communications and marketing, but everyone pooled together. Everyone worked together, both from right the way across global technology. We tried to remove as many silos as we found you know, and we really did succeed in that. And we really engaged with our user communities as well, which I think was pivotal to the success as well. And even I'm sure you've seen in the video that Citrix did with us, it's not just technology people that are involved in our video. We've got our global head of human resources, who is a huge, big champion of the solution that we've actually deployed and I think that really sets us apart as well. >> I think so too. I think what you guys are doing for the employee experience is very differentiating, the strategic approach within the organization, not just to get the right decision makers together, but also how you've really thoughtfully rolled this out for users, for adoption, is pretty unique. So we congratulate Schroders on being an Innovation Award nominee. You can vote, I think it's just go to citrix.com or the Synergy website. You can vote and we wish you the best of luck as the winner is revealed tomorrow. >> Thank you very much. >> Thanks for your time, Paul. We appreciate it. >> No worries at all, thank you. >> For Keith Townsend, I'm Lisa Martin. You're watching theCUBE, live from Citrix Synergy 2019. Thanks for watching. (techno beat)

>> live from Las Vegas. It's the queue covering del Technologies. World twenty nineteen, brought to you by Del Technologies and its ecosystem partners. >> Welcome back to Las Vegas, Lisa Martin with Stew Minimum and we are on Day one of the Cubes coverage of Del Technology World twenty nineteen. We've got two sets, lots of great guests, lots of great conversations. Already. We're pleased to welcome to the Cube for the first time that Mike, a pigeon senior director of education services at Del Technologies like Welcome to the Cube. >> Thank you. Thanks for having me >> our pleasure. So here we are talking about digital transformation. We've been talking about it for a long time. I loved how last year's Del Technologies world was. Make it, really it being digital transformation, it t workforce transformation, security. This year, it's about real transformation. We talked a lot about the technology's what are some of the other things, though the companies need to be thinking about as enablers of this transformation >> your great, great question and obviously the technology is a huge part of it, right? But of course, myself being from Del Technology education services, a big focus on the people So that is what we see as an additional critical focus. Because at the end of the day, digital transformation is is big. It's really big, and technology alone isn't going to suffice, right? It's not going to be just that. So focus on the people and, you know, we hear a time and again from our customers from from research in the market that, you know, one of the top three, actually, barriers from customers and organizations driving adoption and success in digital information comes down to having the right skill sets in place. >> So, Mike, I'm God we have you on. We just had your chief customer officer, Karen Kito song, and she was talking a little bit about the skills gap. So we know how many customers, how many people we're going to need to have and, you know, half of the half of the programs we're gonna need it's going to need going to require retraining of, you know, my workforce there. So we talked for years with you know, what used to be emcee ends now, Del Education services, you know, from storage certifications to convert certifications to cloud certification. So you know what was the latest in Great is what is the I kind of go to skill set that people need And, you know, the ones that you know people are calling up saying, Oh my gosh, if I could learn this, you know, it's going to really, you know, catapult my career. >> Yes. So the Del Technologies now del Technologies proven professional program's been in place for years. A lot of ah, uh, industry recognized certifications to your point. A lot focus on storage, data protection, product related. And over the past twelve months to eighteen months, we've actually in a lot of expansion beyond that, into Mohr areas of transformation and those areas where we have expanded beyond just products have been tied back right to that skills gap that we're seeing in customers and what they're challenged with as they drive a digital transformation. So some examples being more of a focused on converged infrastructure hybrid cloud way, have some associate level certifications we recently brought to market there, uh, multi cloud. That's a big focus for us. Obviously, some of the discussion announcements this morning focus around multi cloud, and they talked about cloud chaos. Right, So we have some expert level certification in place focussed on that way. We also have a focus around security and specifically designing infrastructure with that security first mindset. And then finally the other most recent transformational type of certifications, that master level. So think of it a career pinnacle levels certification that's focused on, uh, transformational architecture. >> Yeah, Mike, just a follow up on that one. One of the things I hear in Multi Cloud is there certain technologies that might allow us to move. But one of the biggest challenges is skill set. Because if I learned and I understand how to configure it and how to manage it and how to do it here and if I move somewhere else even if seventy percent the same Oh, my gosh, that's not awesome. Can you just wonder if you could step back and give you know what you see out there? And you know what works today and where do we need to go? Is an industry as a whole try to help users toe live in this multi cloud world that were already in but struggling with? >> Yeah. I mean, there's a ton of proficiency in in the silos, right? Indian managing specific infrastructure server storage network now also around converge infrastructure as well as cloud deployments. But to your point in a multi cloud environment, there are different provider's, both private and public different technologies, and it gets it can get complex fairly quick, right? So having the skill sets to kind of take a step back and look at that holistically and understand about workload placements, you know there's there's knowledge and skill sets that required to make some of those determinations. We obviously have a lot of services capabilities that help provide that. But there's a level of obviously proficiency that our customers want in need in house as well. So a lot of it is building that knowledge and understanding. The decision points in the criteria for the different providers, as well as work, replacement and a movement across that multi cloud environment. It's very different than skill sets in the past. >> Sorry about that. Very excited I'm curious about if we talk about talent and retention with respect to some of the guys and gals who been around for a while. Michael mentioned on stage this morning that later this week is Dell's thirty fifth anniversary in business. And as we look at, you know, all the technology transformations and multi cloud world that we live in. This two mentioned What are some of the benefits for? I don't want to say, you know, older population But, say the veterans of technology White What are some of the things that Del Technologies, Education Services will deliver to say that more seasoned individual to stay relevant and be able to adapt as quickly as technology so that they're competitive for jobs themselves? >> Great, great question. And I mean, it's it's the pace of change is so fast, and it's impacting everyone, everyone from from recent college graduates, right, getting right into the field that that were in in technology as well as your point seasoned veterans who've been around for a while. And that's where a lot of the difficult transformation is taking place. Right, because it's it's the rolls of the past, and today the skill sets of dead like those rules and skills that have gotten us two today are are very different than what's needed to get us to tomorrow, and and that's where a lot of our technical training our curriculum as well as our industry certifications come into play in helping build that knowledge required and the skills on the certifications to validate those capabilities for the next generation workforce. So it's it's really for the right out of school and may be new to the field as well as evolving throughout their career. >> All right, so, like we, we know that your team's doing things throughout the year talking to your customers. But you got fifteen thousand people here at Delta Tech World. I've seen the hands on labs. I know there's always certification. So give us from your team. You know, some of the big focus, some of the activities and some of the take away if you want people to have from >> your one big thing I would give a plug for is our proven professional center. So right downstairs here in Casanova five o one, we have fifty seven certifications available, and we have hundreds and hundreds of customers and partners that will be taking certification exams and and achieving certifications this week. All right, we have ah promotional offer. So every attempt attempt at first attempt at every exam is free just for this week. So encourage everyone who is here to check it out. In addition, Teo to taking those certifications in preparation for that we have we have twenty nine different preparation sessions that we're running so right downstairs two rooms next door where we're rotating through on topics that are specific to our latest and greatest product lines. Power Left Power Max Power Edge A Max In addition to that cloud, focus data Science certification Prep sessions multi cloud expert. There's, Ah, whole array of prep sessions that air helping our customers and partners prepare for taking those certifications. >> Aye aye, machine learning. >> There is some some intersections with that as well. Certainly is part of a data science curriculum and certification exams >> and where our customers, in terms of discussing with you, say, maybe at last year's Del Technologies world like these are some of the certifications in the trainings that we really need. Talk about that sort of bidirectional symbiosis where customers are. I'm assuming helping you didn't teams identify, developed and then deliver this spot on trainings? >> Yeah, yeah, that's a great question to Eric. See, every year here at Del Technologies world, we have a customer advisory council and Actually, the last two years came out loud and clear. Last year was more of a focus and some of the areas that the challenge was from a transformation perspective. Security came into play in a big way. Different aspects of cloud and multi cloud enterprise architecture. Er, um a lot of our focus related Teo pivotal and some of the offerings, their application development. So all of that feedback and discussion that we have in customers actually feeds into our prioritization and road mapping, and it has a big impact on the on the technical training and the certifications that we bring to market. So we're going to be with our customers throughout today, also tomorrow. And there will be additional input to where we where we go in the future. >> All right, Mike, what are their feedback? Are you hearing from customers? You know, we hear in the key note some of these, you know, broad topics, and you talk about, you know, a I and I ot and ej computing. And how much does that funnel back? And are they looking for help on that? Now are you know, how do they start getting themselves ready for some of these massive waves that are coming, >> Yeah, that's definitely part of the themes that we hear and then and the feedback that we get from customers and what's really relevant to them and that ties into their skills transformation as well. As you said, I o t a m l data engineer. That's, ah, more recent role that we're focusing on on and you'LL see Ah bunch coming out from Del Technologies at services on that in the not too distant future. So a lot of that those themes are we hear the exact same same customer base, and those are areas that where we're addressing in in our road map and as we bring new technical training offerings to market. >> So listening to your customers is kiss as to mention we're talking to Karen can just a little bit earlier that that's essential pretty much for any role. But you're listening. You're taking that into account you're designing and delivering for that long A benefits. We can talk about it for the individuals going to the training right in terms of ups, killing and job retention. But from from your customer's perspective, you have a favorite example of a customer who's really been able to transform their company because they've made this investment and ensuring that their talent has the latest and greatest education. >> Yeah, yeah, actually, you know what we've seen? We've done a bunch of research, and Mark, what we see time and again is did a really, really strong correlation between those organizations that are focusing on and investing in their people and the skills development, correlation between that and the progress and success that they're having with with their transformation initiatives. Right. And one area that that where we've been engaged in a lot deeper with customers as of just recent and beginning to do a lot more of is we call it an organizational learning program. So way obviously offer technical training and certifications. But this is more of a, uh, consultative engagement with our customers more thie, organizational level and very consultative and way work closely with them to understand their digital strategy, their plans, and is part of that drive a very prescriptive assessments of what's going on in their violent from a people and skills perspective. So really understanding their current state and where they want to go where they need to be. And based upon the findings of that assessment, we work closely with them to develop a defined, documented strategy and plan. In this case, it's a learning plan. It's a continuous learning plan for that organization over a Siri's of quarters to to work against and drive and really capture gain those skills and knowledge that's required to help move him forward. >> Yeah, Mike, I love that. Reminds me of the joke in your space is what if we give them new skills and they leave? And of course, the alternative is What if we don't give them new skills and they stay back? So I want the last thing I wanted to ask is talk a little bit about internal. There's a lot of change going on. You've been, you know, from the sea to the Del for quite a few years. We'LL se How money Just to protect the innocent. But you know, one of things. I mean, I spent ten years in the emcee and the Internet. The training was something that helped me a lot in my career. Talk a little bit about you know what? What's changing? How you help the internal teams in all the from groups stay up on the latest and greatest areas. >> Absolutely so in at education services. To your point, we support our employees. Technol employees around the globe are partners and customers. So huge focus on on enabling those employees. And if you think about it, right, they are there, the front lines, they're the folks that are with our customers. And they need to be as up to speed, if not more up to speed in these thes areas of technology. So we have, ah, massive undertaking to enable our services audiences pre sale systems Engineers are car consultants around the globe to ensure that they are up to speed and quite knowledgeable on the latest and greatest technologies. And really, how those come tto life within our customer environments. >> Sounds like maybe education services is is a catalyst for this internal cultural transformation that we're seeing from Del Technologies. >> Absolutely is. It's his transformation everywhere. It's internal, its external and at the end of the day, kind of back to where we started, right? If it comes down to the people, it's are our customers and and us as a company, our most important asset. And at the end of the day, you know the people need the right skills and to to be successful in to go digital. >> Great stuff. Mike, Thank you so much for joining student me on the cue, the stuff for noon and sharing all that you're doing to help transform del education services for your internal folks. Your customers like we appreciate your time. >> Thanks for having me. >> Our pleasure. First time in a man. I'm Lisa Martin. You're watching us live from Las Vegas. Day one of the cubes. Coverage of Del technology World twenty nineteen. Thanks for watching.